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Job Description

Job Title: Senior AWS Data Architect

Location: London

Experience Level: Senior

Job Summary

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- database solutions, and large-scale data migration initiatives, while working closely with engineering, DevOps, and business stakeholders in an agile environment.

This role requires strong hands-on experience with Java and Spring-based frameworks, extensive knowledge of relational and non-relational databases, and proven capability in architecting scalable, secure, and high-performance data solutions on AWS.

Key Responsibilities

Design, develop, and maintain cloud- 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- 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+)

Data Architecture & Modeling

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)

AWS & Cloud Technologies

Extensive experience with AWS DMS and AWS SCT Strong working knowledge of AWS RDS, Redshift, and Glue Experience designing data solutions in AWS- environments

Databases

Relational: MySQL, PostgreSQL, Oracle 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 CI/CD: Jenkins, GitLab CI Containerization & Orchestration: Docker, Kubernetes 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

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.