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Sr. Developer Advocate, Lakehouse

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Databricks
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, IT Consultant
Salary/Wage Range or Industry Benchmark: 133000 - 186100 USD Yearly USD 133000.00 186100.00 YEAR
Job Description & How to Apply Below
Position: Sr. Developer Advocate, Open Lakehouse

Sr. Developer Advocate, Open Lakehouse

Location:

San Francisco, Bellevue, Amsterdam

Role Overview

Are you an active community leader and hands-on builder in the data engineering and AI ecosystem? 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™.

Impact You Will Have
  • 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.
  • 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.
  • 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, aligning 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 such as data format interoperability, ETL best practices, and the application of AI Agentic Systems across the data development workflow.
What We Look For
  • 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

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. For specific details on the benefits offered in your region, please visit

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

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.

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