Staff Technical Writer

Databricks; San Francisco (CA); On-site; USD 134,000 - 207,000; Full time

Job summary

Join a leading tech company as a Staff Technical Writer in Data Engineering, where you will document and enhance the use of innovative data products. In this fast-paced role, work closely with engineers and product managers to create impactful documentation that aids customer success. Your expertise in technical writing and data products will contribute to meaningful collaborations and insights driving the next wave of innovation.

Benefits

Comprehensive benefits package

Diversity and inclusion initiatives

Equity opportunities

Qualifications

• 6+ years of documenting sophisticated technologies.
• Ability to work in Bay Area or Seattle.
• Experience in data products and cloud computing.

Responsibilities

• Collaborate with engineers and product managers on documentation.
• Develop customer-focused material based on feedback.
• Create and manage effective information architecture.

Skills

Collaboration

Communication

Attention to Detail

Technical Writing

Information Architecture

Data Analysis

Education

Bachelor's Degree or higher

Tools

Markdown

Git

GitHub

Job description

Staff Technical Writer, Data Engineering

Join to apply for the Staff Technical Writer, Data Engineering role at Databricks

Staff Technical Writer, Data Engineering

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Join to apply for the Staff Technical Writer, Data Engineering role at Databricks

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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 will 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.
• Guide the development of an information architecture that organizes content around customer use cases.
• Use data to develop insights that drive planning, prioritization, and improvements.
  
  

What We Look For

• 6+ 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 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

$134,400—$206,100 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. 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Product Management

• Industries

  Software Development

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