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Staff Technical Writer, Data Engineering



Marketing & Communications, IT, Data Science
Seattle, WA, USA
Posted on Tuesday, June 11, 2024


The world of cloud data services has become a rich and complex space, and its customers and users often struggle to make sense of it. It’s not enough to simply “doc all the things”; now, technical documentation and education must clearly and expertly guide customers through options, features, products, and decisions that will inform engineering choices and lead them to the best solutions for their needs.

To do that with Databricks documentation, we need experience. We particularly need experienced writers who know how to break down complex cloud-based services and deliver well-designed technical content that guides data engineers and developers to love the Databricks platform and the power and flexibility it offers. We are looking for a technical writer (or if you have prior technical documentation experience) who deeply understands the engineering audience and has experience with cloud platforms.

The impact you will have:

  • Develop technical content and code examples that spans the Databricks product, focusing on the needs of Databricks’ data engineering and developer customers
  • Create, define, and drive technical content strategies and documentation site features
  • Mentor and develop junior writers and peers
  • Inform and inspire our customers, setting standards for great technical content all-around!

What we look for:

  • 5+ years of technical writing experience working with cloud services
  • Technical writer, product manager, developer relations, or support engineering background
  • Demonstrated strong technical writing skills
  • Experience in content design and information architecture
  • Experience working with content analytics
  • Strong individual or group leadership skills and experience
  • Experience with data ingestion and streaming platforms and technology (ideally Spark™)
  • Demonstrated experience planning and delivering large cross-functional projects
  • 2+ years coding experience in Python or Java/Scala
  • DevOps experience


  • Medical, Dental, and Vision
  • 401(k) Plan
  • FSA, HSA and Commuter Benefit Plans
  • Equity Awards
  • Flexible Time Off
  • Paid Parental Leave
  • Family Planning
  • Fitness Reimbursement
  • Annual Career Development Fund
  • Home Office/Work Headphones Reimbursement
  • Employee Assistance Program (EAP)
  • Business Travel Accident Insurance
  • Mental Wellness Resources

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 2 Pay Range
$107,500$190,000 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, LinkedIn and Facebook.

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.


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.