AWS Data Architect
Accolite
About Accolite
AWS Data Architect
Senior AWS Data ArchitectWe 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
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