Data Architect - Databricks

Overview

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.

  Qualifications:

• 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

Note: Given the urgency of the role, we are currently prioritizing candidates who can join immediately or within 2 weeks.