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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Data Architect - **Company:** Accolite - **Location:** UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Legacy Database, Java (Programming Language), Amazon Web Services, Automation of Tests, Big Data, Computer Programming, Information Technology Consulting, Databases, Data Architecture, Data Integrity, Data Migration, Data Structures, IBM DB2, Database Development, DevOps, Amazon DynamoDB, Entity Relationship Models, Spring Framework, Logical Data Models, MongoDB, NoSQL, Performance Tuning, PDMS, Scrum Methodology, Cloud Services, Prometheus, Software Technical Review, Data Storage Technologies, Grafana, Spring-boot, Git, Database Migration, Containerization, Information Technology, Data Analytics, AWS Data Analytics, Data Management, Physical Data Models, Software Version Control, Elk Stack - **Published:** August 26, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815045952-aws-data-architect ## About the Role * Strong proficiency in Java (Java 17 or later) * Expertise in Spring Boot (2.5+) and Spring Framework (5+) * Advanced knowledge of data decomposition patterns * Strong experience with ER modeling, normalization, and cardinality * Proficiency in Logical and Physical Data Models (LDMs and PDMs) Data Types & Structures: * Hands-on experience with polymorphic data types * Strong understanding of Abstract Data Types (ADTs) * Extensive experience with AWS DMS and AWS SCT * Strong working knowledge of AWS RDS, Redshift, and Glue Databases: * NoSQL: DynamoDB, MongoDB * NewSQL: CockroachDB, Google Spanner (or similar) * Optional: IBM DB2 Data Migration: * Proven experience using data migration testing tools, validation techniques, and reconciliation methodologies DevOps & Tooling: * Version control: Git * Monitoring & Logging: Prometheus, Grafana, ELK Stack Soft Skills: * Strong analytical and problem-solving abilities * Excellent communication and stakeholder engagement skills * Ability to work independently and collaboratively in a fast-paced agile environment * Leadership mindset with the ability to mentor and guide technical teams ## Description Senior AWS Data Architect We are seeking a highly skilled Senior AWS Data Architect to lead the design, modernization, and migration of enterprise-scale data platforms on AWS. The ideal candidate will bring deep expertise in data architecture, cloud-native database solutions, and large-scale data migration initiatives, while working closely with engineering, DevOps, and business stakeholders in an agile environment. Key Responsibilities: * Design, develop, and maintain cloud-native data architectures aligned with business and technical requirements. * Define and implement data decomposition patterns, ensuring optimal scalability, performance, and maintainability. * Create and maintain Logical Data Models (LDMs) and Physical Data Models (PDMs), including ER diagrams, normalization, and cardinality definitions. * Lead and execute data migration strategies using AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT). * Work with cross-functional teams to modernize legacy database systems and migrate them to AWS-managed and cloud-native databases. * Develop and maintain server-side applications using Java (Java 17+), Spring Boot (2.5+), and Spring Framework (5+). * Implement solutions leveraging polymorphic data types and Abstract Data Types (ADTs) to support complex data structures. * Architect and optimize data storage solutions using relational, NoSQL, and NewSQL databases. * Ensure data integrity, security, performance tuning, and cost optimization across all data platforms. * Establish and enforce best practices for CI/CD pipelines, version control, containerization, and infrastructure observability. * Collaborate in an agile delivery environment, contributing to sprint planning, technical design reviews, and architectural governance. Required Technical Skills: Programming & Frameworks: * Strong proficiency in Java (Java 17 or later) * Expertise in Spring Boot (2.5+) and Spring Framework (5+) * Advanced knowledge of data decomposition patterns * Strong experience with ER modeling, normalization, and cardinality * Proficiency in Logical and Physical Data Models (LDMs and PDMs) Data Types & Structures: * Hands-on experience with polymorphic data types * Strong understanding of Abstract Data Types (ADTs) * Extensive experience with AWS DMS and AWS SCT * Strong working knowledge of AWS RDS, Redshift, and Glue Databases: * NoSQL: DynamoDB, MongoDB * NewSQL: CockroachDB, Google Spanner (or similar) * Optional: IBM DB2 Data Migration: * Proven experience using data migration testing tools, validation techniques, and reconciliation methodologies DevOps & Tooling: * Version control: Git * Monitoring & Logging: Prometheus, Grafana, ELK Stack Soft Skills: * Strong analytical and problem-solving abilities * Excellent communication and stakeholder engagement skills * Ability to work independently and collaboratively in a fast-paced agile environment * Leadership mindset with the ability to mentor and guide technical teams What We Offer: * Opportunity to work on large-scale, cloud-first data transformation projects * Collaborative and innovative engineering culture * Competitive compensation and benefits * Career growth in a cloud and data-driven organization Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)