AWS Data Architect C2C contract Atlanta, GA

Tech Mirrors; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Tech Mirrors is looking for an AWS Data Architect in Atlanta, GA. This role involves leading data strategy to transition from mainframe systems to a modern AWS and Databricks environment. You will guide workshops, design data architecture, and establish governance strategies.

The ideal candidate should have extensive experience with AWS technologies, DB2 decoupling, and CDC methodologies. This is a contract position offering an onsite work experience.

Qualifications

• Expertise in AWS technologies including S3, Redshift, RDS/Aurora.
• Deep knowledge of Databricks Lakehouse architecture.
• Experience with DB2 decoupling and CDC methodologies.

Responsibilities

• Lead architecture workshops with stakeholders.
• Design the Analytics Hub blueprint to transition legacy systems.
• Define data domain boundaries and governance strategies.

Skills

AWS Data ecosystem expertise

Databricks Lakehouse architecture

Mainframe-to-Cloud modernization

AI Augmentation/Vibe Coding knowledge

Agentic AI experience

Job description

Role – AWS Data Architect

Location – Atlanta, GA (Onsite)

Mode – Contract

Job Description

Data Architect – Role Overview: Serve as the primary client-facing data strategy leader. You will define the North Star data architecture to transition from mainframe systems to a modern, scalable AWS and Databricks ecosystem.

Key Responsibilities

• Lead architecture alignment workshops with business and IT stakeholders to validate modernization priorities.
• Design the “Analytics Hub” blueprint, transitioning legacy Cognos reporting to AWS Aurora, Redshift, Quick Sight, and Power BI.
• Define the Change Data Capture (CDC) bridge strategy to sync Mainframe DB2 to AWS cloud-native databases without disrupting operations.
• Establish data domain boundaries, access models, and governance strategies, including Zero Trust data masking for PII.

Required Skills

• Expertise in the AWS Data ecosystem (S3, Redshift, RDS/Aurora, DMS, Kinesis).
• Deep knowledge of Databricks Lakehouse architecture.
• Experience in Mainframe-to-Cloud modernization, specifically DB2 decoupling and CDC methodologies.
• AI Augmentation/Vibe Coding knowledge required.
• Agentic AI experience is good to have.