Data Architect

3M

Bangalore, Karnataka, India
Hybrid
Enterprise data architecture standards
Domain-aligned data products
Reference architectures for data
Define and govern enterprise data architecture standards that enable scalable, reliable, and reusable data products

Job Summary

  • Define and govern enterprise data architecture standards that enable scalable, reliable, and reusable data products.
  • Establish reference architectures and best practices for data ingestion, transformation, analytics, and secure access.
  • Partner with Data Platform Engineering to align data product patterns with supported AWS and analytics platform capabilities.

Matching Summary

Define and govern enterprise data architecture standards that enable scalable, reliable, and reusable data products.

Skills & Requirements

Must-have

  • Enterprise data architecture standards
  • Domain-aligned data products
  • Reference architectures for data
  • Data ingestion and transformation best practices
  • AWS and analytics platform capabilities
  • Data quality and lineage
  • Scalability and cost efficiency

Nice-to-have

  • Data product delivery model
  • Data governance practices
  • Observability and cost management
  • Global enterprise environment
  • Curiosity and creativity

Key Requirements

  • Bachelor's degree or higher
  • Minimum twelve (12) years experience
  • Data engineering, analytics engineering, or data architecture experience
  • Cloud data solutions design and governance
  • AWS cloud platform experience
  • Lakehouse or hybrid data architectures
  • SQL-based transformation
  • Analytical data platforms
  • Influence engineering teams without direct authority

Work Rights

Not specified

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