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Solution Director; Analytics, AI/ML page is loaded Solution Director; Analytics, AI/MLlocations: UK-Hayes-Hyde Park Hayestime type: Full timeposted on: Posted 26 Days Agojob requisition id: R-23123We are seeking a highly accomplished Solution Director (Analytics & Al/ML) to lead the design and sales of two critical solution portfolios: Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS.This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through Lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS).This is a presales role that demands cross-functional experience with proven ability to engage C-level stakeholders, drive top-of-funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle.The ideal candidate will excel at both selling the vision of generative AI transformation and delivering the reality of enterprise data modernization, combining deep technical expertise with exceptional business acumen and executive presence. Responsibilities Strategic Leadership & Opportunity Development • Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations.• Lead the design and architecture of dual solution portfolios; 1) Generative AI Solutions : Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions, and 2) Data Modernization : Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS.• Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization.• Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios.• Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics).• Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns.• Mentor and provide leadership to Solution Architects by guiding technical development and fostering skill growth across both generative AI and data modernization solution areas. Customer Engagement & Solution Delivery • Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts.• Build strategic relationships using two engagement models; 1) Executive Level : Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions, and 2) Technical Level : Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning.• Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps.• Develop proposals that balance innovative AI capabilities with foundational data platform requirements.Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse).• Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs. Technical Excellence & Market Awareness • Maintain deep expertise across both solution domains; 1) Generative AI : Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases, and 2) Data Platforms : AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake.• Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery)• Guide architectural decisions on build vs. buy for both Al capabilities and data platform componentsExperience Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations. Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related technical field is required. At the manager's discretion, additional relevant experience may substitute for the degree requirement. A minimum of 15 years of enterprise solution architecture experience. A minimum of 8 years of public cloud experience. A minimum of 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization. Proven Presales/Sales Engineering experience. Demonstrated success in engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations. Strong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning. Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality. Proficiency in Python, SQL, and Spark with hands-on experience in: Generative AI: LangChain, vector databases, embedding models. Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools. A proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences. About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world's leading technologies - across applications, data and security - to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we're all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Principal Machine Learning Engineer, AI & Data Platforms (AiDP) London, England, United Kingdom. Corporate Functions. At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team is seeking a Principal Machine Learning Engineer to lead the design, fine tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. This is a deeply hands on, high impact role: you will work across the full model lifecycle, from reinforcement learning and upstream training through to deployment of standalone, customer facing products. The ideal candidate is equal parts researcher, engineer, and product builder. You bring authoritative depth in LLM customisation and alignment, a sharp instinct for performance and quality, and the ability to ship end to end AI powered products that meet Apple's standard of excellence. If you thrive at the intersection of frontier model development, systems engineering, and product creation we want to hear from you. Responsibilities Lead the end to end development and productionisation of LLM based systems, from upstream training and reinforcement learning (RLHF/RLAIF) through fine tuning, alignment, and deployment of standalone, globally scaled products Design and implement comprehensive LLM evaluation and benchmarking frameworks, assessing model quality, safety, bias, latency, and cost efficiency to inform model selection and customisation decisions Architect production inference infrastructure that meets Apple's performance, privacy, and reliability standards at global scale, including model optimisation, quantisation, and efficient serving strategies Drive model customisation and adaptation strategies (prompt engineering, retrieval augmented generation, parameter efficient and full fine tuning) to deliver differentiated product experiences Build end to end AI powered products and features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams to translate emerging capabilities into scalable, user centric solutions - acting as a technical bridge between research innovation and product delivery Mentor and elevate ML engineers across the team, raising the bar on technical quality and fostering a culture of rigorous experimentation and engineering craft Minimum Qualifications Extensive hands on Machine Learning engineering experience, with a demonstrable track record of shipping ML powered products at scale Deep, practical expertise in LLM fine tuning, alignment, and customisation - including reinforcement learning from human feedback (RLHF), parameter efficient fine tuning (LoRA, QLoRA), prompt optimisation and LLM evaluation and benchmarking strategies (accuracy, latency, safety, cost) Strong software engineering proficiency across Python, Swift, and Java, with the ability to contribute production quality code across Apple's technology stack Experience building and operating enterprise grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on prem environments Preferred Qualifications Demonstrated ability to deliver end to end AI products - from problem framing and experimentation through to globally deployed, production grade solutions Published papers in top conferences in ML/Statistics/Maths/compsci. Experience with pre training or continued pre training of large language models, including data curation, curriculum design, and training stability at scale Expertise in reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross modal reasoning Track record of building and shipping standalone AI native products - not just features - with direct accountability for user impact and product quality Contributions to open source ML frameworks, published research, or patents in relevant areas Expertise in inference optimisation techniques: quantisation (GPTQ, AWQ), speculative decoding, KV cache optimisation, and hardware aware model compilation Strong data engineering instincts - comfort designing data pipelines, curating training datasets, and producing high quality aggregated datasets at scale Demonstrated technical leadership: setting architectural direction, driving cross team alignment, and mentoring senior engineers At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Company: Apple Inc. Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom

About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the Analytics team Engineering at hx drives every breakthrough that transforms how insurers make billion-dollar decisions. Our Analytics team sits at the cutting edge of this mission, building the data systems that unlock the full value of complex insurance datasets. We're turning raw portfolio data into actionable insights that help underwriters and actuaries make smarter, faster decisions on risks worth billions. As a Senior Backend Engineer in the Analytics team, you'll architect and build the foundational data systems that power next-generation insurance analytics. This is greenfield territory - you'll be designing distributed data solutions from the ground up, creating scalable ingestion pipelines, and building the infrastructure that turns complex insurance data into competitive advantage for our customers. You'll work at the intersection of complex engineering challenges and real business impact, collaborating with sharp product and UX minds to create data-driven experiences that fundamentally change how insurers understand and optimise their risk portfolios. If you love solving hard technical problems while seeing direct customer impact, this is where you'll thrive. What You'll Be Doing Build scalable data systems in Kotlin that enable insurers to ingest, process, and explore complex datasets, turning months of manual analysis into real-time insights that drive billion-dollar risk decisions. Design distributed analytics infrastructure on AWS using Terraform, creating robust, cloud native systems that handle enterprise scale data volumes while maintaining reliability and performance. Deliver customer facing analytics features that transform how users understand and optimise risk modelling, building intuitive interfaces for complex portfolio analytics that were previously impossible. Drive technical innovation in data architecture, piloting emerging technologies and AI/ML approaches that continuously improve the analytics experience and unlock new capabilities for customers. Collaborate across disciplines with Product, UX, and Engineering teams to translate complex business requirements into elegant technical solutions that balance powerful functionality with usability. Elevate system quality through robust architecture decisions, comprehensive testing, and clear documentation that makes complex data systems maintainable and scalable as the team grows. What You'll Need to Have Done Built production backend systems with proven experience as a polyglot engineer, ideally with strong Kotlin skills and the ability to work effectively across multiple languages and tech stacks. Delivered scalable cloud infrastructure using AWS and infrastructure as code tools like Terraform, with hands on experience building distributed systems that handle real world data volumes. Developed data warehousing solutions with hands on experience building ETL pipelines, data modelling, and orchestration workflows using modern tools (e.g., dbt, Airflow, Spark), demonstrating the ability to transform raw data into reliable, performant analytics infrastructure that supports business decision making at scale. Collaborated effectively across teams to deliver features that customers actually use, with evidence of translating business requirements into technical solutions that drive measurable impact. Maintained high code quality standards with a commitment to clean, well documented, maintainable systems and the discipline to build infrastructure that scales with business growth. Demonstrated curiosity about emerging technologies, particularly around data processing, analytics platforms, and AI/ML tools that can enhance developer productivity and unlock new customer value. You're Unlikely To Thrive Here If You prefer working with well established data systems rather than building foundational analytics infrastructure from scratch in a rapidly evolving environment. You're more comfortable focusing on purely technical challenges than understanding the business context and customer impact of the data systems you're building. You're not excited by the complexity that comes with distributed data processing, enterprise scale systems, and the technical depth required for analytics platforms. Reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via Spectrum.life. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme Additional Perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry. Exceptional opportunities for personal development and growth as we build something remarkable together. Interview Process Initial call with our Talent team to kick things off (30 minutes) Manager Interview (60 minutes) Technical Interview - Code Review & AI Pairing (120 minutes) Values Interview (60 minutes) We offer! Our Commitment to Diversity hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next Steps: If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page. Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Event Management Consultant- Active DV Clearance Location: Corsham/Hybrid - Office 60%/Home 40% Duration: 6 months from the start MUST HAVE THESE TOP 3 SKILLS: BMC TrueSight Orchestration Splunk Event Management Role Description: As a key member of the Hosting and Tooling Team, you will contribute to both operational (RUN) and project based activities alongside fellow Consultants, Engineers, and Analysts. You will be empowered to: Liaise directly with client teams, providing guidance and support. Create event management policies for internal services and client distribution solutions. Provide high level functional system analysis to support client needs. Maintain operational tooling in line with client operational deliverables. Undertake project tasks and liaise with internal and external Project Managers. Build and enhance your capabilities through training, certifications, and hands on experience. Produce technical documentation and architectural drawings. Build and maintain operational dashboards to support client requirements. Your Skills and Experience You will bring experience of enterprise tooling and a strong technical foundation, ideally supported by relevant certifications. Skills and experience include: Proven experience with enterprise level tooling and associated certifications. Experience managing tooling platforms such as BMC TrueSight, BMC Discovery, and Splunk. Agent deployment and management. Product installation and customisation. SNMP MIB management. Experience working in Windows, AIX, and Linux environments. Knowledge of Scripting languages including Python and PowerShell. Familiarity with monitoring tools such as Zabbix, Nagios, HP Openview, SolarWinds, IBM Tivoli Monitoring, IBM Tivoli Netcool. Strong understanding of networking concepts and protocols. Experience creating scripts for automation and system integration (eg, REST API). In depth knowledge of Splunk features, including: Rule and advanced logic creation Splunk Query Language (SPL) SQL coding Dashboard development If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are seeking a forward-thinking, AI-first leader to shape and drive the evolution of Marketing Innovation across the organization. Sitting within the Marketing function, this role is responsible for defining how AI transforms marketing-from how we plan and create, to how we execute, personalize, and scale. As Global Head of Marketing Innovation, you will lead the transition from traditional marketing operations and tooling toward AI-powered workflows, agent-driven automation, and intelligent decision systems. You will define what capabilities marketing needs to succeed in an AI-native environment and translate those into clear, prioritized roadmaps in close partnership with Product, Engineering, and Data teams. This role goes beyond managing technology-it is about rethinking how marketing works. You will act as the primary bridge between Marketing and technical teams, ensuring AI solutions are aligned with business goals, scalable across markets, and embedded into day-to-day workflows. You will also lead a small but high-impact team, including an AI Enablement specialist responsible for driving adoption across the organization. The role reports directly to the Senior Director of Growth Marketing & Innovation. What you'll be doing AI Strategy & Marketing Transformation Define and lead the long-term vision for AI-powered marketing, including automation, personalization, and intelligent workflows. Identify high-impact opportunities where AI can replace manual work, improve decision-making, and unlock scale. Drive the transition from tool-based execution to AI-enabled operating models across marketing functions. AI Product Thinking & Roadmap Ownership Translate marketing needs into AI-driven solutions, including agents, automation systems, and intelligent workflows. Own and prioritize the Marketing Innovation roadmap, balancing business impact, feasibility, and scalability. Act as the primary DRI within Marketing for AI-related initiatives, managing trade-offs and sequencing. Agentic AI & Workflow Automation Lead the design and deployment of AI agents to automate workflows across creative production, performance marketing, CRM, and localization. Ensure solutions are embedded into real workflows-not standalone tools. Continuously identify and scale automation opportunities across the organization. Cross-Functional Leadership Partner closely with Product, Engineering, Data Science, and Analytics teams to build and deploy AI solutions. Ensure alignment between marketing needs, technical capabilities, and long-term system architecture. Influence without direct authority, driving execution through strong cross-functional collaboration. AI Adoption & Enablement Own the global adoption of AI solutions across Marketing. Lead and mentor an AI Enablement specialist focused on training, documentation, and day-to-day usage. Establish clear processes, playbooks, and best practices to ensure teams effectively leverage AI capabilities. Drive cultural change toward AI-first ways of working. Governance, Quality & Compliance Ensure AI solutions meet standards for quality, consistency, and brand alignment. Partner with Legal, Privacy, and Engineering teams to ensure compliance with data governance and regulatory requirements. Define guardrails, escalation paths, and approval processes for AI-driven workflows. Vendor & Ecosystem Strategy Evaluate and manage external AI tools, platforms, and partners. Ensure the ecosystem supports long-term flexibility and avoids unnecessary complexity. Maximize value from vendors through structured evaluation and performance management. Our humble expectations 8+ years of experience in product, AI/automation, marketing innovation, or related roles in high-scale digital environments. Strong product mindset, with experience translating business needs into scalable technical or AI-driven solutions. Solid understanding of marketing platforms and ecosystems (e.g., marketing automation, CRM, mobile attribution, ad tech), with the ability to evaluate trade-offs without needing to be hands on in system configuration or engineering Hands on understanding of AI capabilities (e.g., LLMs, agents, automation tools) and how they apply to marketing workflows. Experience working cross functionally with Product, Engineering, Data, and Analytics teams. Proven ability to operate in ambiguous environments and build structure where none exists. Strong stakeholder management and communication skills, with the ability to influence senior leaders. Experience building or leading small, high impact teams. Passion for AI innovation and its application to real world operational challenges. Nice to have: Experience with marketing platforms (CRM, automation, ad tech) Familiarity with prompt design, workflow orchestration, or AI tooling ecosystems Understanding of Marketing Automation and AdTech systems (e.g., Iterable, Braze, Salesforce, Appsflyer, Adjust) Basic data fluency (e.g., SQL or analytics tools) What we offer This is a rare opportunity to get under the hood of a massive growth engine and actually build the tools that make it run. You won't just be managing existing software; you'll be the strategic architect responsible for moving us away from manual, "copy paste" work toward a smart, automated system powered by AI and real time data. You will have the mandate to bridge the gap between Marketing, Product and Engineering, making sure our tech stack is a competitive advantage rather than a bottleneck. Whether it's building a marketing engine to win back millions of users or launching ML powered personalization that hits the right customer at the perfect moment, you will be the one making it technically possible. If you want a high ownership role where you can solve real structural problems and lead a team of technical experts in a fast paced, global environment, this is it. Next steps Our hiring process prioritizes quality over speed to ensure we find the right long term fit for this critical role. Candidates move through the process one step at a time, typically starting with an initial screen and a hiring manager interview, followed by a peer interview and a take home case study presentation, concluding with a final value fit conversation. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

About Us: Solirius Reply delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients' needs. It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 400 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants' expertise in their fields, to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for working with data to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality, data-driven solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into robust data architectures and platforms. You understand and align with Solirius Reply Values. The Role: We are looking for experienced Data Architects to work on our projects with our public sector clients, helping to deliver Solirius' services to the highest standard. The role will involve working with multiple business and technical stakeholders, helping them to design data solutions and architectures which will then be implemented by the delivery teams. As a Data Architect, you will be expected to operate with a high degree of autonomy, using your experience and judgement to resolve complex data and architectural challenges in alignment with client needs. You will proactively manage escalations and take ownership of delivering effective, scalable, and secure data solutions. Successful candidates will also be expected to take an active role in practice development: developing new data services to help with Solirius' business development - creating and updating data architecture artefacts, liaising with other Solirius practices to maintain practice profile and contributing to the development of more junior practice members. In addition to technical leadership, you will play a key role in identifying and shaping new business opportunities, working closely with stakeholders across client organisations to understand strategic objectives and deliver value-driven, data-led outcomes. You must be a strong and confident communicator, capable of influencing both technical and non-technical audiences. You will lead and mentor technical teams, build consensus across diverse stakeholder groups, and foster collaborative, cross-functional working environments. Your role will require innovative thinking, applying best practices and emerging data technologies to solve complex business problems in creative and pragmatic ways. Key Responsibilities: Design end-to-end data architectures that meet business, technical, and security requirements. Translate business and analytical requirements into scalable, secure, and cost-effective data platforms. Ensure alignment with enterprise data architecture, data strategy, and governance standards. Lead data architecture reviews and technical design workshops with stakeholders and delivery teams. Support Agile delivery teams, defining MVP data architecture and providing ongoing technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy, compliance, and risk management are Embedded in the solution. Produce clear data architecture documentation using standards such as conceptual, logical and physical models, C4, Archimate, and cloud-native diagrams, including high-level designs and relevant data artefacts. Key Experience: Extensive experience in stakeholder engagement and senior-level communication, including C-suite. Proven experience in client-facing and/or consultancy environments. Demonstrated ability to translate complex business and analytical requirements into scalable and resilient data architectures. Strong track record in designing and delivering end-to-end data platforms in enterprise settings. Expertise in conceptual, logical, and physical data modelling. Deep understanding of data platforms, data integration, and analytics architectures. Ability to design solutions that meet both functional and non-functional requirements, including performance, scalability, security, and compliance. Broad experience with data governance, data quality, master data management, and regulatory requirements. Key Skills: Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise in data architecture and modelling (conceptual, logical, and physical). Familiarity with modern integration technologies and patterns (eg, API-driven, event streaming, service mesh). What We Offer: Competitive Salary 25 Days Annual Leave + Bank Holidays Flexibility to work from home 10 days allocated for development training per year Generous Discretionary Bonus Statutory & Contributory Pension Private Healthcare Cover Discounted Gym Membership Enhanced Parental Leave Paid Fertility Leave Cycle to Work and Electric Vehicle schemes Access to Employee Assistance Programme (EAP) Annual Away Days Monthly Company Socials Equality & Diversity: Solirius Reply is an equal opportunity employer. We are committed to creating a work environment that supports, celebrates, encourages and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.