P-RDQ427R495
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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Senior Engineering Manager on the Artifact Distribution team, you will lead an engineering team responsible for Databricks’ core artifact storage and distribution infrastructure.
Every machine launched in the cloud by Databricks— millions of cloud machines daily—relies on this service to fetch container images, machine learning model weights, dependencies, and runtime configurations to initialize. This infrastructure is mission-critical to daily operations and directly impacts company revenue.
The impact you will have:
- Lead Mission-Critical Infrastructure: Direct a high-impact engineering team responsible for artifact storage, cross-cloud & cross-region replication, and distribution service scaling across millions of cloud instances daily.
- Set Technical Strategy & Architectural Direction: Drive the multi-year roadmap for low-level artifact storage, peer-to-peer distribution, and cloud replication.
- Maintain Hands-on Technical Oversight: Leverage Staff-level system design and architecture knowledge to conduct architecture reviews, oversee system reliability, and maintain engineering excellence.
- Cross-Functional Alignment & Communication: Translate complex infrastructure constraints into clear strategies, driving strong alignment across partner product and engineering organizations.
- Team Growth & Talent Attraction: Hire, mentor, and foster the career growth of top-tier engineers in low-level application and platform infrastructure.
What we look for:
- Technical Management Leadership: 4+ years of engineering management experience leading backend or platform infrastructure teams.
- Architectural Depth: A track record of high technical judgment (equivalent to a Staff Engineer) in building and operating large-scale distributed systems, and a deep understanding of customer interactions with platform products across multiple components.
- Domain Expertise: Deep experience in low-level backend or cloud infrastructure, with hands-on familiarity in key areas such as:
- Excellence in Execution & Communication: Strong communication skills with a proven track record of driving cross-functional alignment and managing stakeholder expectations across teams.
- Hiring & Talent Development: Proven success attracting, recruiting, and growing Senior and Staff-level ICs.
Preferred Qualifications:
- Experience at major cloud providers or scale-out tech companies
- Familiarity with high-throughput artifact delivery, large-scale ML model weight distribution, or container infrastructure management.
- Experience evolving team structures and processes during hyper-growth without sacrificing operational reliability.
COVID-19 Vaccination Requirement
As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.
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.
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.
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.
