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RDQ426R144
At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from enabling the data insights that change industries to developing AI that can revolutionize how we live. We do this by building and running the world’s best data and AI infrastructure platform so our customers can deliver solutions that solve these problems at scale and with confidence.
More about the team:
Join Databricks in a period of tremendous growth and innovation. Technical writers here play a critical role in our customer success. You create the technical content that connects our customer’s needs and use cases to the rich set of tools, features, and services Databricks provides. You will apply your considerable writing, data, and other technical and program management skills to create compelling content that shows data scientists, data engineers, and data analysts how to use Databricks, through documentation, code samples, and other online content.
The role:
To succeed in this role, you have experience with data products and the ability to learn new technologies quickly. You are passionate about instructional writing, with a focus on clarity and brevity. You understand how to write for a wide variety of data and technical professionals, and the importance of good, discoverable task and reference docs. You know how to measure the success of your work.
If you’re excited to work with some of the industry’s brightest innovators in data and AI and excite our data engineering and developer customers through docs that speak to their needs, we want to talk to you!
The impact you will have:
- Work closely with engineers and product managers to develop effective, task-based, customer-focused documentation.
- Collaborate closely with customer-facing technical staff (support engineers, solutions architects, developer relations) on best practices, get started, and other scenario-based end-to-end guidance.
- Collaborate on and deliver a unified information architecture that focuses on customer use cases.
- Use data to develop insights that drive content planning, prioritization, and improvements.
What we look for:
- 3+ years of documenting sophisticated technologies for developers and software engineers, or similar work experience.
- Ability to work in person in either our Bay Area or Seattle area offices
- Enthusiastic about the investigative side of technical writing: skilled at tracking down technical details and transforming them into clear, useful information for the customer.
- Strong collaboration and communication skills.
- Expertise in technical writing tools and style: maintaining a consistent voice, a clear and engaging tone, and a solid grasp of grammar and usage rules.
- Experience working with data products, cloud computing, and SQL. Knowledge of Apache Spark™ and ETL in general is a bonus!
- Demonstrated understanding of information architecture concepts and how to apply them to a constantly changing website.
- Proven project management skills.
- Proficiency in Markdown-style formats with Git and GitHub.
- Experience using data and customer feedback to drive decision-making.
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
$91,500—$161,500 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
Databricks Seattle, Washington, USA Office
2001 8th Ave, Suite #600, Seattle, Washington, United States, 98121
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