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.
We’re looking to hire a Senior Engineering Manager to join our Photon team and help shape the next generation of lightning-fast, scalable data processing. As a Senior Engineering Manager, you’ll lead world-class engineers building Photon—the cutting-edge query engine powering Databricks’ industry-defining Lakehouse Platform.
This is your opportunity to drive innovation at massive scale, optimize data systems for real-world impact, and collaborate with top minds in query optimization/execution, storage, and large-scale analytics. If you’re passionate about empowering teams, architecting pioneering technology, and making analytics dramatically faster for millions of users, we want you on our team.
The key responsibilities include:
- Lead and grow a team of top-tier software engineers.
- Drive the development of the Photon query engine and differentiating performance features.
- Partner with product and engineering leadership to define the roadmap and deliver industry-leading performance.
- Foster a culture of technical excellence, innovation, and collaborative problem-solving.
- Mentor and develop future leaders through coaching and growth opportunities.
- Attract, hire, and retain exceptional engineering talent.
What we look for:
- Deep expertise in database kernel or internals development (query execution, optimization, or storage engines).
- 8+ years of experience in database internals or related systems engineering.
- 5+ years of engineering management experience, including building and scaling high-performance teams.
- Proven ability to hire, develop, and retain top engineering talent.
- Strong track record of delivering complex, high-scale distributed systems.
- BS in Computer Science (MS or PhD preferred).
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 click here.
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.
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
