AWS Data Architect

Role: AWS Data Architect

Location: Clinton, NJ(Hybrid)

Contract

Must Have:

• Minimum 15+ years of overall experience - must
• At least 6 years of hands-on AWS Data Architecture experience - must
• Minimum 9 years of Data Engineering experience - must

Ideal Candidate Profile 

Overall 15+ years of experience, including 5 to 7+ years in AWS Data Architecture.

Core AWS Expertise

• Deep experience with:
• S3 (data lake design)
• AWS Glue (ETL, catalog)
• Amazon Redshift (data warehouse design & optimization)
• Lambda, Step Functions (orchestration)
• IAM, Lake Formation (security)

Data Engineering & Processing

• Strong hands-on experience with:
• PySpark / Spark (EMR or Glue)
• SQL (advanced level)
• Python for data pipelines
• Experience with streaming (Kinesis / Kafka) is a plus

Data Architecture

• Expertise in:
• Data lake / lakehouse architectures
• Data modeling (dimensional + normalized)
• Metadata and cataloging strategies
• Handling large-scale, distributed data systems

Modern Data Stack (Preferred)

• Exposure to:
• dbt, Airflow, Snowflake (optional but valuable)
• BI tools (QuickSight, Tableau, Power BI)
• API-based ingestion and microservices-based data flows
• Amazon Quick Suite (QuickSight, Quick Chat, Quick Flows, Quick Automate, Quick Research)
• SQL & Data Modeling
• AWS Analytics Stack
• Dashboard Design
• AI Agent Design & Configuration
• Workflow Automation & Business Process Optimization