P-1385
Companies are investing billions of dollars into developing and deploying AI and the data platforms that enable it. But do they know what is happening?
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 Senior Software Engineer on the Customer Foresight Team, you'll lead the development of products that customers use to get insights on their AI and data workloads, optimize their performance, and lower costs. You will build data infrastructure that processes billions of entries daily, deploy to over 65 cloud regions worldwide, and enable some of the world's biggest companies to conduct their DevOps, FinOps, SecOps and AIOps jobs.
This role requires leading the technical development of product milestones from refinement of requirements, through execution, operation, and iterating with the broader product development team and partner teams to ensure product success.
The impact you will have:
- Develop systems that make it simple for customers to answer questions about their Databricks environment by providing a reliable and timely interface for observability
- Make it easy for frameworks teams across Databricks to publish their data to customers
- Effectively lead large milestones from the observability roadmap, contribute to the long-term vision and requirements development for Databricks products
- Mentor other engineers towards contributing to the product and their career growth
- Optimize the scalability and cost of large data pipelines towards reducing costs for customers and opening up new product opportunities
- Drive integration with popular tools and services in the broader data warehousing ecosystem
What we look for:
- 6+ years of production level experience in one of: Java, Scala, Python, C++, or similar language
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
- Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems
- Strong software engineering maturity: security, correctness, engineering excellence, operational excellence
- Platform mindset: effective building platforms for other software teams, iterating quickly to reduce friction to adoption, advocating for platform use
- Cross-functional skills: we have platform customers internal at Databricks as well as external customers, which requires strong cross-functional skills
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.
Applicant Privacy Notice
Skills Required
- 6+ years production experience in Java, Scala, Python, C++, or similar language
- Experience with cloud technologies (AWS, Azure, GCP) and container/orchestration tooling (Docker, Kubernetes)
- Proven experience architecting, developing, deploying, and operating large-scale distributed systems
- Demonstrated software engineering maturity: security, correctness, operational excellence
- Platform mindset: building and iterating platforms for other software teams
- Cross-functional collaboration skills and experience leading large product milestones; mentoring engineers
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.
-
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.
-
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.
-
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.
