AWS Data Architect (Local Candidates Only)

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Overall 15+ years of experience, including 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