Databricks Architect

Role Summary

We are looking for an experienced Databricks Architect who can design, build, and govern scalable data platforms. This role requires deep hands on experience with Databricks, strong data architecture skills, and the ability to decompose complex source systems into well designed analytical layers using medallion architecture.

Key Responsibilities

• Design and implement end to end data architecture on Databricks using bronze, silver, and gold layers
• Decompose complex source systems and translate them into scalable and maintainable data models
• Define and enforce medallion architecture standards, data quality rules, and design patterns
• Implement and manage Unity Catalog for data governance, security, lineage, and access control
• Build and review Databricks notebooks using best practices for readability, reuse, and performance
• Enable data integration and data flow across multiple boundary systems and platforms
• Lead performance tuning efforts including cluster configuration, query optimization, partitioning, and caching strategies
• Provide architectural guidance on Databricks nuances such as job orchestration, Delta Lake optimization, and cost management
• Collaborate with engineering, analytics, and business teams to align architecture with use cases
• Mentor engineers and review designs, code, and implementation approaches

Required Qualifications

• Strong hands on experience with Databricks in production environments
• Proven experience designing and implementing medallion architecture
• Deep understanding of Unity Catalog and enterprise data governance concepts
• Expertise in building Databricks notebooks using Python, SQL, or Scala
• Experience integrating data across multiple source and target systems
• Strong performance tuning and troubleshooting skills on Databricks
• Solid understanding of Delta Lake internals and best practices