Data Architect Databricks

We are hiring a Data Architect to lead a strategic enterprise data modernization initiative for platform using Medallion architecture AWS Databricks. The role will define target-state architecture establish enterprise data governance frameworks implement CI/CD best practices for data platforms and build GenAI-ready data foundations that enable advanced analytics machine learning and secure enterprise data access.

You will be responsible for architecting scalable cloud-native data ecosystems designing governed data models and enabling real-time and batch data processing capabilities. This role requires deep ownership of architecture standards platform performance and cross-functional alignment across engineering analytics and data science teams to ensure consistent secure and high-performance data consumption across enterprise use cases.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities -

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
  
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
  
• Establish data modeling standards (dimensional data vault lakehouse patterns) and ensure best practices across projects
  
• Establish enterprise data governance frameworks including cataloging lineage stewardship and compliance using Atlan.
  
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
  
• Design data architectures that support AI/ML and Generative AI workloads including vector storage feature layers and secure access patterns.
  
• Build scalable ingestion frameworks supporting batch streaming and CDC pipelines.
  
• Architect secure high-performance data integration layers for analytics BI and AI consumption.
  
• Develop target-state architecture blueprints and enforce data standards governance and best practices across teams.
  
• Collaborate with engineering analytics and data science teams to ensure platform alignment and scalability.
  
• Engage with clients as a trusted advisor driving data strategy roadmap definition and identifying opportunities for expansion.