.png)
RDQ126R56
At Databricks, we are passionate about enabling people to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
More about the team
The Data Engineering and Developer Documentation team is a crew of experienced technical writers with diverse backgrounds, including software engineering, solutions architecture, and technical communications. We share a common goal: Simplify data engineering and pipeline development on Databricks.
As an experienced user of cloud data services yourself, you know the complexity of the landscape and the difficult decisions that go into choosing and integrating technologies. Excellent documentation guides customers through understanding tasks, options, and features customers use to build amazing solutions on the world’s only Data Intelligence Platform.
That’s what we do here. If that’s what you want to do too – and if you have the technical experience and professional writing skills to deliver excellent technical content in a very engaged, highly collaborative environment – then apply to join us!
The work you’ll do:
- Develop technical content and code examples (Python, SQL, Scala, and R) that span the Databricks product, focusing on Databricks’ ETL features and data engineering use cases
- Influence and contribute to our information architecture using current content design principles
- Create, define, and drive technical content plans with product stakeholders
- Use content performance data and analytics to develop insights that drive planning, prioritization, and improvements
- Collaborate closely with other technical writers across the Databricks Documentation org to tell the all-up data engineering and ETL stories on Databricks
What we look for:
- 3+ years experience working with cloud data services in a professional technical role
- Ability to work in person in either our Bay Area or Seattle area offices 3x per week
- Technical writer, product manager, engineering, developer relations, solutions architect, or field/support engineering background
- Demonstrated strong technical writing skills (we’ll ask for samples)
- Technical project management skills and experience
- Demonstrated experience developing and delivering large customer content projects
- Working knowledge of current DevOps tools and practices
- Experience with Git and working in “Docs-as-Code” authoring environments
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
$96,100—$170,000 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.
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 https://www.mybenefitsnow.com/databricks.
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.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
 (1).png)
