AWS Data Architect

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, Dev Ops, 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, No
  
  SQL, 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:

• No
  
  SQL:
  Dynamo
  
  DB, MongoDB
• NewSQL:
  Cockroach
  
  DB, Google Spanner (or similar)
• Optional: IBM DB2

Data Migration:

• Proven experience using data migration testing tools, validation techniques, and reconciliation methodologies

Dev Ops & 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