Strategic Overview
Sr. Staff Software Engineer - Managed Tables at Databricks is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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.
The role is listed for Mountain View, California with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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 —…
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…
Key Responsibilities & Objectives
- 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.
- Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
- Plan and lead complicated technical projects that work with several teams within the company.
Required Qualifications & Candidate Blueprint
- BS/MS/PhD in Computer Science or related majors, or equivalent experience.
Salary & Benefits
Published compensation: $228,600 – $314,250 USD
- Experience working towards a multi-year vision with incremental deliverables
Salary Benchmark
This role’s published compensation is compared with current employer-disclosed salary ranges for the same role at the Senior level in the same currency.
Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This dev opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Solve real business needs at large scale by applying your software engineering experience and by driving strong collaboration with Product partners — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.