Adecco
Wembley, Middlesex
Solutions Architect - London Job Title: Solutions Architect Salary: Paying up to 85,000 per annum Location: Wembley London - 5 days on-site Are you a hands-on technical leader with a passion for creating innovative technology solutions? Our client, a well-established and diversified multinational organisation, is seeking a Solutions Architect to join their team. Skills Experience: Solution Architecture with a clear focus on E-commerce platforms or API/Middleware ecosystems. Technical Stack: Expert-level knowledge of Node.js, Java (Spring Boot), and PostgreSQL - able to read and critique vendor code, not just high-level diagrams. Integration Expert: Deep proficiency in API management patterns, Webhook integrations, and Event-Driven Architecture using Kafka or Azure Event Hubs. Legacy-to-Cloud: Demonstrable experience migrating legacy monolithic systems into containerised microservices architectures. Tooling: Proficient in Visio or LucidChart for architectural modelling; disciplined in Confluence for documentation practices. Duties Blueprint Delivery: Develop high-quality High-Level Designs (HLDs) and Low-Level Designs (LLDs) for DTS, EPOS, and other strategic workstreams - to a standard that external vendors are contractually required to match. Vendor Governance: Conduct structured audits of vendor-submitted code and architecture. Enforce 'Stable-by-Design' framework, ensuring external deliverables meet internal quality, security, and scalability thresholds. Data Integration Leadership: Orchestrate complex data mapping between legacy IBM iSeries (DB2/RPG) systems and modern API middleware - a technically demanding challenge requiring deep integration expertise. Systemic Remediation: Lead deep-dive investigations into recurring platform failures error surges, latency anomalies, and data inconsistencies - and deliver long-term structural remediation, not tactical patches. Technical Documentation: Maintain high-quality architecture documentation in Confluence, ensuring designs are versioned, accessible, and transferable to operational teams.
Solutions Architect - London Job Title: Solutions Architect Salary: Paying up to 85,000 per annum Location: Wembley London - 5 days on-site Are you a hands-on technical leader with a passion for creating innovative technology solutions? Our client, a well-established and diversified multinational organisation, is seeking a Solutions Architect to join their team. Skills Experience: Solution Architecture with a clear focus on E-commerce platforms or API/Middleware ecosystems. Technical Stack: Expert-level knowledge of Node.js, Java (Spring Boot), and PostgreSQL - able to read and critique vendor code, not just high-level diagrams. Integration Expert: Deep proficiency in API management patterns, Webhook integrations, and Event-Driven Architecture using Kafka or Azure Event Hubs. Legacy-to-Cloud: Demonstrable experience migrating legacy monolithic systems into containerised microservices architectures. Tooling: Proficient in Visio or LucidChart for architectural modelling; disciplined in Confluence for documentation practices. Duties Blueprint Delivery: Develop high-quality High-Level Designs (HLDs) and Low-Level Designs (LLDs) for DTS, EPOS, and other strategic workstreams - to a standard that external vendors are contractually required to match. Vendor Governance: Conduct structured audits of vendor-submitted code and architecture. Enforce 'Stable-by-Design' framework, ensuring external deliverables meet internal quality, security, and scalability thresholds. Data Integration Leadership: Orchestrate complex data mapping between legacy IBM iSeries (DB2/RPG) systems and modern API middleware - a technically demanding challenge requiring deep integration expertise. Systemic Remediation: Lead deep-dive investigations into recurring platform failures error surges, latency anomalies, and data inconsistencies - and deliver long-term structural remediation, not tactical patches. Technical Documentation: Maintain high-quality architecture documentation in Confluence, ensuring designs are versioned, accessible, and transferable to operational teams.
Adecco
Wembley, Middlesex
Solutions Architect - London Job Title: Solutions Architect Salary: Paying up to £85,000 per annum Location: Wembley London - 5 days on-site Are you a hands-on technical leader with a passion for creating innovative technology solutions? Our client, a well-established and diversified multinational organisation, is seeking a Solutions Architect to join their team. Skills Experience: Solution Architecture with a clear focus on E-commerce platforms or API/Middleware ecosystems. Technical Stack: Expert-level knowledge of Node.js, Java (Spring Boot), and PostgreSQL - able to read and critique vendor code, not just high-level diagrams. Integration Expert: Deep proficiency in API management patterns, Webhook integrations, and Event-Driven Architecture using Kafka or Azure Event Hubs. Legacy-to-Cloud: Demonstrable experience migrating Legacy monolithic systems into containerised microservices architectures. Tooling: Proficient in Visio or LucidChart for architectural modelling; disciplined in Confluence for documentation practices. Duties Blueprint Delivery: Develop high-quality High-Level Designs (HLDs) and Low-Level Designs (LLDs) for DTS, EPOS, and other strategic workstreams - to a standard that external vendors are contractually required to match. Vendor Governance: Conduct structured audits of vendor-submitted code and architecture. Enforce 'Stable-by-Design' framework, ensuring external deliverables meet internal quality, security, and scalability thresholds. Data Integration Leadership: Orchestrate complex data mapping between Legacy IBM iSeries (DB2/RPG) systems and modern API Middleware - a technically demanding challenge requiring deep integration expertise. Systemic Remediation: Lead deep-dive investigations into recurring platform failures error surges, latency anomalies, and data inconsistencies - and deliver long-term structural remediation, not tactical patches. Technical Documentation: Maintain high-quality architecture documentation in Confluence, ensuring designs are versioned, accessible, and transferable to operational teams.
Solutions Architect - London Job Title: Solutions Architect Salary: Paying up to £85,000 per annum Location: Wembley London - 5 days on-site Are you a hands-on technical leader with a passion for creating innovative technology solutions? Our client, a well-established and diversified multinational organisation, is seeking a Solutions Architect to join their team. Skills Experience: Solution Architecture with a clear focus on E-commerce platforms or API/Middleware ecosystems. Technical Stack: Expert-level knowledge of Node.js, Java (Spring Boot), and PostgreSQL - able to read and critique vendor code, not just high-level diagrams. Integration Expert: Deep proficiency in API management patterns, Webhook integrations, and Event-Driven Architecture using Kafka or Azure Event Hubs. Legacy-to-Cloud: Demonstrable experience migrating Legacy monolithic systems into containerised microservices architectures. Tooling: Proficient in Visio or LucidChart for architectural modelling; disciplined in Confluence for documentation practices. Duties Blueprint Delivery: Develop high-quality High-Level Designs (HLDs) and Low-Level Designs (LLDs) for DTS, EPOS, and other strategic workstreams - to a standard that external vendors are contractually required to match. Vendor Governance: Conduct structured audits of vendor-submitted code and architecture. Enforce 'Stable-by-Design' framework, ensuring external deliverables meet internal quality, security, and scalability thresholds. Data Integration Leadership: Orchestrate complex data mapping between Legacy IBM iSeries (DB2/RPG) systems and modern API Middleware - a technically demanding challenge requiring deep integration expertise. Systemic Remediation: Lead deep-dive investigations into recurring platform failures error surges, latency anomalies, and data inconsistencies - and deliver long-term structural remediation, not tactical patches. Technical Documentation: Maintain high-quality architecture documentation in Confluence, ensuring designs are versioned, accessible, and transferable to operational teams.
Adecco
Wembley, Middlesex
Snowflake Data Architect Location: Wembley, London - FULLY ON-SITE Salary: Up to 95,000 + Benefits We are seeking an experienced Snowflake Data Architect to play a pivotal role in shaping and delivering a modern enterprise data platform. This is an opportunity to join a business undergoing significant data transformation, moving from legacy systems and manual processes to a scalable, automated, cloud-first architecture. You will be responsible for defining architectural standards, driving best practices, and enabling engineering teams to deliver high-quality, trusted data products that support analytics, reporting, and emerging AI initiatives. Key Responsibilities Define and own enterprise-wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL-based systems, ensuring robust reconciliation, auditability, and incremental data loading capabilities. Architect modern data pipelines leveraging Snowflake and orchestration technologies, ensuring reliability, scalability, idempotency, and effective error handling. Establish and govern security models across the data platform, including role-based access control (RBAC), dynamic masking, row-level security, and environment segregation. Drive platform performance optimisation and cost management within Snowflake, identifying inefficiencies and implementing scalable warehouse, clustering, and workload management strategies. Design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures. Collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts and implement automated data quality frameworks. Champion Data-as-Code principles, helping establish CI/CD best practices and engineering standards across the organisation. Provide architectural leadership, mentoring engineering teams and translating complex technical concepts into practical guidance. Required Experience 10+ years' experience in Data Engineering, Data Architecture, or a related field. Minimum 4 years' hands-on experience designing and implementing solutions within Snowflake. Demonstrated success delivering enterprise-scale data transformation programmes and modernising legacy data environments. Deep expertise in Data Vault 2.0, Kimball dimensional modelling, and Inmon methodologies, with the ability to select the right approach for varying business requirements. Advanced knowledge of dbt and Git-based development practices. Strong experience designing cloud-based data solutions, including integrations across AWS and Azure environments. Proven track record implementing CI/CD pipelines and promoting software engineering best practices within data teams. Experience defining data governance, security frameworks, and quality standards across enterprise platforms. Desirable Skills Experience with Kestra or similar modern orchestration platforms. Knowledge of Snowflake Native Apps, Snowpark, and emerging AI/ML capabilities within modern data platforms. Exposure to vector databases, embeddings, retrieval-augmented generation (RAG), and AI-ready data architectures. Retail, wholesale, supply chain, or large-scale transactional data experience.
Snowflake Data Architect Location: Wembley, London - FULLY ON-SITE Salary: Up to 95,000 + Benefits We are seeking an experienced Snowflake Data Architect to play a pivotal role in shaping and delivering a modern enterprise data platform. This is an opportunity to join a business undergoing significant data transformation, moving from legacy systems and manual processes to a scalable, automated, cloud-first architecture. You will be responsible for defining architectural standards, driving best practices, and enabling engineering teams to deliver high-quality, trusted data products that support analytics, reporting, and emerging AI initiatives. Key Responsibilities Define and own enterprise-wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL-based systems, ensuring robust reconciliation, auditability, and incremental data loading capabilities. Architect modern data pipelines leveraging Snowflake and orchestration technologies, ensuring reliability, scalability, idempotency, and effective error handling. Establish and govern security models across the data platform, including role-based access control (RBAC), dynamic masking, row-level security, and environment segregation. Drive platform performance optimisation and cost management within Snowflake, identifying inefficiencies and implementing scalable warehouse, clustering, and workload management strategies. Design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures. Collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts and implement automated data quality frameworks. Champion Data-as-Code principles, helping establish CI/CD best practices and engineering standards across the organisation. Provide architectural leadership, mentoring engineering teams and translating complex technical concepts into practical guidance. Required Experience 10+ years' experience in Data Engineering, Data Architecture, or a related field. Minimum 4 years' hands-on experience designing and implementing solutions within Snowflake. Demonstrated success delivering enterprise-scale data transformation programmes and modernising legacy data environments. Deep expertise in Data Vault 2.0, Kimball dimensional modelling, and Inmon methodologies, with the ability to select the right approach for varying business requirements. Advanced knowledge of dbt and Git-based development practices. Strong experience designing cloud-based data solutions, including integrations across AWS and Azure environments. Proven track record implementing CI/CD pipelines and promoting software engineering best practices within data teams. Experience defining data governance, security frameworks, and quality standards across enterprise platforms. Desirable Skills Experience with Kestra or similar modern orchestration platforms. Knowledge of Snowflake Native Apps, Snowpark, and emerging AI/ML capabilities within modern data platforms. Exposure to vector databases, embeddings, retrieval-augmented generation (RAG), and AI-ready data architectures. Retail, wholesale, supply chain, or large-scale transactional data experience.
