Sr. Technical Writer

Posted 4 Days Ago
Be an Early Applicant
San Francisco, CA
96K-170K Annually
Mid level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Sr. Technical Writer will create user-focused documentation for Databricks' data and AI platform. Responsibilities include collaborating with engineers and product managers to develop documentation, using data to drive insights for improving content, and maintaining a consistent voice in technical writing. Candidates should have experience with technical writing tools, data products, and SQL, along with strong communication and project management skills.
Summary Generated by Built In

RDQ225R411

At Databricks, we are passionate about enabling data teams 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: 

Join Databricks in a period of tremendous growth and innovation. Technical writers here play a critical role in our customer success. You will apply your considerable writing, data, and other technical skills to create compelling content that shows data scientists, data engineers, and data analysts how to use Databricks.

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. You take an information architect's approach to organizing material. The work is fast-paced but you maintain your attention to detail and advocacy for the customer. If you’re excited to work with some of the industry’s brightest innovators in data and AI, we want to talk to you. 

The impact you will have:

  • Collaborate closely with engineers and product managers to develop effective, customer-focused documentation.
  • Collaborate closely with customer-facing technical staff (support engineers, solutions architects, developer relations) on best practices, onboarding material, and other scenario-based guidance.
  • Help drive an information-architecture approach to organizing content based on customer use cases.
  • Use data to develop insights that drive 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 3x per week 
  • Enthusiastic about the investigative side of technical writing: skilled at tracking down elusive 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.
  • 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 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

SQL
The Company
New York, NY
2,200 Employees
On-site Workplace
Year Founded: 2013

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.

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