Job description

P-1093 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 tackle 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. The ManagedTables team at Databricks is responsible for the DataIntelligence initiatives that underpin the Unity Catalog ManagedTables offering. This encompasses products such as Predictive Optimization, Liquid Clustering, and control plane services facilitating Unity Catalog and Iceberg Rest Catalog API-based access to ManagedTables. The team is accountable for optimizing exabytes of data and saving millions of dollars annually for our customers through the Data Intelligence offerings. As part of this team, you will be working on realizing enterprise grade autonomous analytical datasystems - that ensure the best performance out-of-the-box. You will design and implement these next gen systems that leapfrog state-of-the-art: Storage lifecycle and additional background optimizations for a knob-free experience via Predictive Optimization Efficient storage structures and innovations to power storage layout solutions for the ML world Influence the Data format and Catalog interface unification efforts and enable strong ecosystem interoperability for ManagedTables The Impact you will have: Solve real business needs at large scale by applying your software engineering experience and by driving strong collaboration with Product partners Deliver a highly scalable, available, and inter-operable architecture for Managed Tables. Low level systems debugging, performance measurement & optimization on large production clusters. Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. Introduce tools to allow greater automation and operability of services. Use your deep experience to help prevent and investigate production issues. Plan and lead complicated technical projects that work with several teams within the company. Mentor and up-level engineers on the team What We’re Looking For: 15+ years industry experience building and supporting large-scale distributed systems. A passion for database systems, storage systems, distributed systems, language design, or performance optimization Experience working towards a multi-year vision with incremental deliverables Motivated by delivering customer value and impact. Strong foundation in algorithms and data structures and their real-world use cases. Experience driving company initiatives towards customer satisfaction. BS/MS/PhD in Computer Science or related majors, or equivalent experience. 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 $228,600 — $314,250 USD 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.

Requirements

Must-haves

Storage lifecycle and additional background optimizations for a knob-free experience via Predictive Optimization
Efficient storage structures and innovations to power storage layout solutions for the ML world
Influence the Data format and Catalog interface unification efforts and enable strong ecosystem interoperability for ManagedTables
Solve real business needs at large scale by applying your software engineering experience and by driving strong collaboration with Product partners
Deliver a highly scalable, available, and inter-operable architecture for Managed Tables.
Low level systems debugging, performance measurement & optimization on large production clusters.
Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
Introduce tools to allow greater automation and operability of services.
Use your deep experience to help prevent and investigate production issues.
Plan and lead complicated technical projects that work with several teams within the company.
Mentor and up-level engineers on the team
15+ years industry experience building and supporting large-scale distributed systems.
A passion for database systems, storage systems, distributed systems, language design, or performance optimization
Experience working towards a multi-year vision with incremental deliverables
Motivated by delivering customer value and impact.
Strong foundation in algorithms and data structures and their real-world use cases.
Experience driving company initiatives towards customer satisfaction.
BS/MS/PhD in Computer Science or related majors, or equivalent experience.
Our Commitment to Diversity and Inclusion

Nice-to-haves

None flagged.

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