P- 1430
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.
As a Staff Software Engineer, you will build customer facing workflows, work with your platform team and product management to have self-serve onboarding of product teams. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.
The Impact you will have
- Build Simple workflows to cover multiple user journeys in Databricks Control Plane
- Build a Self Serve and modular UI flows to help various product teams in databricks to build standard customer user journeys.
- Collaborate with global, cross-functional teams, including product management, backend engineers, to deliver high-quality software.
- Participate in the planning and execution of complex projects involving multiple teams and stakeholders.
- Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.
- Provide a great SQL-centric data exploration and dashboarding experience on Databricks
- Work in an interactive environment for collaborative data projects at massive scale with an easy path to production.
- Mentor / groom junior full stack engineers
What We Look For:
- 10+ years of industry experience
- Experience leading large multi-quarter efforts with a demonstrated customer or business impact
- Experience developing large-scale distributed systems from scratch
- Comfortable working towards a multi-year vision with incremental deliverables
- Motivated by delivering customer value
- Familiarity with server-side web technologies is a plus
- Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability
- Experience building large-scale products
- Experience working on a SaaS platform or with Service-Oriented Architectures.
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.
Skills Required
- 10+ years of industry experience
- Experience leading large multi-quarter efforts with demonstrated customer or business impact
- Experience developing large-scale distributed systems from scratch
- Comfortable working towards a multi-year vision with incremental deliverables
- Motivated by delivering customer value
- Knowledge of current trends and best practices in front-end architecture including performance, accessibility, security and usability
- Experience building large-scale products
- Experience working on a SaaS platform or with Service-Oriented Architectures
- Familiarity with server-side web technologies
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 are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
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Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
Databricks Insights
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.
