Senior Technical Writer

Databricks

San Francisco, CA, US
  • Job Type: Full-Time
  • Function: Engineering Software
  • Post Date: 03/29/2021
  • Website: databricks.com
  • Company Address: , San Francisco, CA

About Databricks

Databricks is focused on making Big Data easier than ever before by delivering a turnkey cloud platform built around Spark, the lightening-fast open source cluster computing framework.

Job Description

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

As a Senior Technical Writer at Databricks, you will apply your considerable writing and technical skills to create compelling content that shows data scientists, data engineers, and data analysts how to use Databricks to solve their toughest machine learning and AI problems.

To succeed in this role, you must have the technical background to learn bleeding-edge big data tools very quickly. You must be passionate about writing, with a focus on clarity, straightforward storytelling, and an information architect's approach to organizing material. The work is going to come fast and furious— we are growing at an unprecedented rate—-but you'll never let up on your attention to detail or your advocacy for the customer. If this sounds exciting, we want to hear from you!

The impact you will have:

Write content:

  • Write high-impact documentation for all parts of the data science and data engineering lifecycle, including deployment and configuration guidance for IT and devops engineers, user guidance for data scientists and data engineers, API and command references, tutorials, walkthroughs, sample apps, and best practices guides
  • Collaborate closely with engineers and product managers to develop effective feature documentation
  • Collaborate closely with customer-facing technical staff (support engineers, solutions architects, developer relations) on best practices, onboarding material, and other scenario-based guidance

Contribute to doc site infrastructure and information architecture improvements:

  • Help doc team develop a persona-driven and use-case-based information-architecture approach to organizing contents
  • Help doc team in its continual effort to improve authoring and production tools and processes

Edit content and manage approvals:

  • Edit content contributed by engineering and the field for technical accuracy, grammar, usage, adherence to style, and fit within information architecture
  • Manage contributed articles through technical review, content edits, and publication

What we look for:

Writing and editing:

  • 5+ years documenting sophisticated technologies for developers and IT professionals, or equivalent work experience (as a software developer, product manager, or solutions architect, for example)
  • Experience documenting SDKs, APIs, and similar tools
  • Mastery of the tools of the technical writer and editor: consistent voice, straightforward and lively style, understanding (or intuition!) of the rules of grammar and usage
  • Demonstrated understanding of information architecture concepts and how to apply them

Teamwork:

  • Excellent interpersonal communication skills
  • Proven project management skills
  • Entrepreneurial, "can-do" approach

Technical:

  • Proficiency in HTML, lightweight markup, and Git
  • Understanding of cloud and distributed data infrastructure
  • Basic proficiency in at least one programming language
  • Basic SQL proficiency and understanding of relational databases
  • Strong analytical skills, with excellent problem-solving abilities
  • Obsession with technical accuracy and attention to detail

Bonus:

  • Experience working with big data technologies (data warehouse, data analytics, ETL)
  • The ability to understand and test code samples in one of the following: Python, Java, Scala, R
  • Experience performing data analysis to drive decision-making
  • Experience developing short video tutorials
  • Experience creating effective and attractive diagrams
  •  

Benefits

  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance

About Databricks

Databricks is the data and AI company. Thousands of organizations worldwide — including Comcast, Condé Nast, Nationwide and H&M — rely on Databricks' open and unified platform for data engineering, machine learning and analytics. Databricks is venture-backed and headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. 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.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.