AWS Data Architect

Job Title: AWS Data Architect

Location: Clinton,NJ

Duration: / Term: Contract

Experience Desired: 12+ Years

Job Description:

Overall 12+ 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

Soft Skills

• Strong ownership mindset and ability to drive architecture end-to-end
• Excellent communication with both technical and business stakeholders
• Ability to work in fast-paced, ambiguous environments
• Proven leadership and mentoring experience

Nice-to-Have

• AWS Certifications (Solutions Architect, Data Analytics Specialty)
• Experience with data governance frameworks / regulatory compliance
• Background in large enterprise transformations

Key Skills:

AWS , Data Architecture, Lakehouse, S3, Glue, PySpark