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As the Principal Technical Content Strategy and Editor at Databricks, you will define and drive the technical content direction to inform data teams about how to build, innovate, and scale with confidence on the Databricks Data Intelligence Platform. You will own the strategy for the Databricks Blog, Databricks YouTube channel, and other technical content platforms, ensuring that practitioners—data engineers, data scientists, and architects—have access to clear, accurate, and actionable resources.
You will work closely with marketing, product management, developer relations, and field teams to develop high-quality content that reflects the latest advancements in data engineering, warehousing, analytics, and AI. Your expertise in content strategy, technical writing, and editing will shape how technical audiences engage with Databricks, making complex concepts more accessible and practical.
The ideal candidate has a strong technical background, a deep understanding of data, analytics, and AI, and a keen editorial eye. If you're passionate about turning complex concepts into clear, practical content that helps data professionals excel, this role is for you.
The impact you will have:
What we look for:
This is a high-impact, strategic role that combines content strategy, technical expertise, and editorial excellence to strengthen Databricks’ leadership in Data and AI. It’s ideal for someone passionate about Data and AI technologies who can balance big-picture strategy with hands-on technical editing and storytelling. If you’re eager to shape the future of technical content at Databricks, we’d love to hear from you. 😊
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.
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.
Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to…
Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com.
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