Engineering Manager, Data Lineage — Unity Catalog Experience

RDQ426R207

About the Role

Databricks is seeking an experienced Engineering Manager to lead the development of Data Lineage as a first-class platform feature within Unity Catalog. This role will drive strategic efforts to enhance our data governance, discovery, and impact analysis capabilities—foundational pillars for our customers' data management and trust in Databricks.

As part of the Unity Catalog Experience team, you will lead a talented team of engineers, collaborate cross-functionally with product and platform teams, and help expand the scale and usability of lineage across the Databricks ecosystem.

Why This Role Matters

Data Lineage is one of the most critical components of Unity Catalog. It underpins the effectiveness of enterprise data governance and insights. By building lineage as a scalable, integrated platform capability, you will:

• Enable enterprise-grade data governance through proactive impact analysis and change management
• Empower data discovery with rich metadata and data flow visualization
• Facilitate problem identification and root-cause analysis across the data platform
• Provide context-aware lineage across the UI and programmatic interfaces
• Improve data documentation and transparency for both internal and external users
• Integrate with third-party catalogs, supporting bi-directional lineage exchange with partners like Atlan, Alation, Collibra, and Purview
• Influence intelligent features such as alerting, insights, and automated suggestions using lineage metadata
  
  

Key Responsibilities:

• Team Leadership & Strategy
  
• Manage, mentor, and grow a high-performing engineering team
• Define the long-term vision for Data Lineage at Databricks in collaboration with Product and Design
• Drive execution across complex technical domains while maintaining high engineering quality
  
  
• Technical Ownership
  
• Lead the architecture and implementation of scalable lineage systems that integrate seamlessly with Unity Catalog
• Ensure lineage metadata is consistent, accurate, and consumable across Databricks products
• Partner with internal platform teams and cloud storage integrations (AWS, Azure, GCP)
  
  
• Cross-Functional Collaboration
  
• Work closely with teams across data governance, metadata management, and catalog ingestion
• Collaborate with partner ecosystem teams to enable lineage integrations with third-party catalog tools
  
  
• Use Case Expansion
  
• Extend lineage coverage to support new use cases such as:
• Impact analysis for governance teams
• Embedded lineage for data scientists and analysts
  
  

Documentation automation and audit readiness

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 1 Pay Range$190,900—$274,700 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter,