Sr. Product Manager, Data Engineering
- Pay
- $115,400 – $204,200 per year
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Director
- Experience
- 5+ years
- Listed
- 30 days ago
Skills & highlights for this role
- enterprise SaaS product management
- product analytics
- go-to-market strategy
- technical product management
Also useful
- Data Engineering
- data pipelines
- Apache Spark
P-8
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.
Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product area.
You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products.
The impact you will have
- Lead product management for one of the fastest growing products and businesses at Databricks
- Make company wide impact by driving Data Engineering across the Databricks product portfolio
- Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry
- Define, shape, and drive the future of data processing, data applications, and data pipelines
- Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.
What We Look For
- 5+ years of product management and related experience with enterprise or SaaS products.
- Educational or professional background in computer science or related engineering fields.
- Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.
- Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
- Analytical skills to make data-driven decisions (e.g. analyze product usage)
- Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form
- A background in Data Engineering is a plus but not required.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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.
Local Pay Range $115,400—$204,200 USD
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
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.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Equal opportunity and legal notices
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.
From Databricks's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Sr. Product Manager, Data Engineering role at Databricks?
The Sr. Product Manager, Data Engineering posting at Databricks states compensation of $115,400 – $204,200 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Databricks's official career site.
Where is the Sr. Product Manager, Data Engineering job at Databricks located?
This Sr. Product Manager, Data Engineering position at Databricks is located in San Francisco, CA (On-site). Always check Databricks's application page for specific state eligibility or relocation policies.
What qualifications are required for Sr. Product Manager, Data Engineering at Databricks?
For the Sr. Product Manager, Data Engineering role, Databricks highlights 5+ years of relevant experience; experience with enterprise SaaS product management, product analytics, go-to-market strategy, technical product management. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Sr. Product Manager, Data Engineering position at Databricks?
This listing links directly to Databricks's Greenhouse application page. You can apply directly on Databricks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.