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Databricks Inc.

Staff Technical Writer, Platform Seattle, Washington

Databricks Inc., Seattle, Washington, us, 98127

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Overview

Staff Technical Writer, Platform — Seattle, Washington At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems by building and running the world’s best data and AI infrastructure platform. Technical writers play a critical role in our customer success, creating content to help data scientists, data engineers, and data analysts 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, and you take an information-architect approach to organizing material. The work is fast-paced, but you maintain attention to detail and advocate 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 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 for this role is Zone 2 Pay Range $127,700 — $178,775 USD. Actual compensation packages are based on factors such as job-related skills, depth of experience, certifications, and location. The total compensation package may include annual performance bonus, equity, and the benefits listed above. For more information, visit the location page. About Databricks

Databricks is the data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform. Databricks is headquartered in San Francisco, with offices around the globe. For more information, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits

We strive to provide comprehensive benefits and perks that meet the needs of all employees. For region-specific details, please visit the benefits page on our site. Our Commitment to Diversity and Inclusion

We are committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and meet equal employment opportunity standards. Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within the employer’s discretion to apply for a U.S. government license and may decline to proceed with an applicant on that basis alone. Apply for this job

First Name * Last Name * Email * Phone * Resume/CV * Cover Letter * LinkedIn Profile Website Are you legally authorized to work in the country in which you are applying? * Do you now or will you need sponsorship for employment visa status? * Have you previously worked for Databricks? *

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