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Data Architect - Databricks

salary Salary :

₹160,000 - 200,000 yearly

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Number of Applicants

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Job Description - 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. 


Requirements

  • Minimum 10 years of experience in Data & Analytics Architecture with proven leadership in large -scale enterprise data modernization initiatives
  • Strong understanding of batch, streaming, real -time, and near real -time data architectures
  • Proven experience implementing enterprise Data Governance frameworks and tool
  • Hands -on experience enabling AI/ML and Generative AI data pipelines.
  • Deep expertise in data domains including Data Warehousing, Data Modeling (Dimensional, Data Vault), MDM, Data Quality, Metadata Management, and Data Catalog implementation
  • Advanced Databricks experience including architecture design, optimization, and security; including hands -on experience with Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, MLflow and integration with cloud services (AWS/Azure)
  • Strong hands -on experience with AWS data ecosystem (S3, Glue, EMR, Lambda, Redshift, Lake Formation, Athena, DMS, etc.)
  • Experience with real -time/streaming technologies (Kafka, Kinesis, or similar)
  • Familiarity with orchestration tools such as Apache Airflow or MWAA
  • Experience implementing CI/CD pipelines for data platforms
  • AWS, Databricks and/or Snowflake certifications preferred



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