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, 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

• 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