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AWS Data Architect

Turing IT LabsClinton, NJ🇺🇸United States

Why this role stands out

You'll shape enterprise data strategy and lead modernization efforts within a reputable tech company, gaining invaluable experience with cutting-edge AWS services. This hybrid role is perfect for a mid-senior AWS Data Architect passionate about building robust data solutions and driving innovation, offering a fantastic opportunity for professional growth and impact. Apply today to leverage your expertise and contribute to exciting data initiatives!

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationClinton, NJ, United States
DynamoDBSQLAWSETLSnowflakeTableauAirflowHadoopKafkaPower BIPythonRedshiftdbt

Job description

We are looking for a hands-on AWS Data Architect to lead enterprise data architecture, engineering, governance, and modernization initiatives.

Key Skills Required

  • AWS Data Architecture: S3, Glue, Redshift, RDS, DynamoDB
  • Data Engineering: PySpark/Spark, Python, Advanced SQL
  • AWS Processing: EMR, Lambda, Step Functions
  • Data Governance & Security: Lake Formation, Glue Data Catalog, IAM, RLS
  • Data Architecture: Data Lake/Lakehouse, Data Modeling, Metadata, Lineage
  • ETL/ELT: Batch & real-time data pipelines
  • Migration & Modernization: Hadoop/on-prem/legacy data platform → AWS
  • BI & Reporting: Amazon QuickSight, Tableau, Power BI
  • AI/Automation: AI Agents, Quick Chat, Quick Spaces, workflow automation
  • Streaming: Kinesis/Kafka – Plus
  • Modern Data Stack: dbt, Airflow, Snowflake – Plus

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