Sr. Developer Advocate, Open Lakehouse

Join Databricks as a Senior Developer Advocate for the Open Lakehouse

Are you an active community leader and hands-on builder in the data engineering and AI ecosystem, driven by a desire to foster engagement and empower developers? This Senior Developer Advocate role is a high-impact position focused on the strategic adoption and technical discourse across the Open Lakehouse stack, including Apache Spark™, Delta Lake, MLflow, Unity Catalog, and Apache Iceberg™.

As a crucial link between our engineering teams and the global developer community, you will play a pivotal role in accelerating the careers of data practitioners by translating best practices into scalable, production-ready reference implementations and high-quality educational content. You will operate as the trusted voice championing developer success, guiding them to master the Databricks Data Intelligence Platform and its open source foundations.

The Impact You Will Have

You will leverage your technical depth, content creation skills, and community engagement to drive awareness and adoption, positioning the Open Lakehouse as the definitive architecture for modern data and AI.

• Content Execution and Delivery: Define, develop, and maintain high-quality, actionable educational resources, including deep-dive tutorials, advanced technical blogs, and live-coding demonstrations that showcase core open source features and thought leadership (e.g., Delta Lake time travel, Spark performance tuning).
• Evangelism: Create and deploy practical code samples and compelling reference demos that showcase best practices for ETL, data governance, and analytics, effectively integrating the OSS ecosystem with cutting-edge AI tools (e.g., setting up training data on Delta Lake or connecting agents to Unity Catalog functions).
• Community Leadership and Advocacy: Actively lead and grow technical communities and meetups. Connect with developers where they are at, and become their primary internal advocate to engineering and product teams, and align the product roadmap with developer needs.
• Open Source Contribution: Directly participate in open source communities by filing detailed bug reports, submitting small pull requests, and providing clear, actionable feedback on new features for projects like Delta Lake, MLflow, or Apache Iceberg™.
• Evangelism: Deliver engaging, high-value presentations at local user groups, regional, and industry events on complex topics like data format interoperability, ETL best practices, and the application of AI Agentic Systems across the data development workflow.

What We Look For

We are seeking a seasoned practitioner with deep technical proficiency, a verifiable track record in community leadership, and genuine empathy for the developer journey.

• Experience and Tenure: 5+ years of total technical experience, including professional experience as a software developer, data engineer, or solutions architect, with a proven history of building and operating data workloads.
• Deep Technical Proficiency: Expert-level programming skills in Python, SQL, and Java.
• Lakehouse Ecosystem Mastery: Foundational understanding of the core Open Lakehouse technologies, including Apache Spark™, Delta Lake, Apache Iceberg™, Unity Catalog, and MLflow.
• Verifiable Open Source Track Record: Demonstrated ability to build and operate data workloads using core Open Lakehouse technologies, with hands-on experience in the open source contribution workflow (filing issues, small PRs).
• Communication and Empathy: Exceptional communication skills with a proven talent for translating complex technical concepts into clear, concise educational material for a broad developer audience. A public portfolio showing high-quality content creation (e.g., detailed tutorials, well-received conference talks, or active community contributions) is a significant advantage.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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.

Zone 2 Pay Range $133,000—$186,100 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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.