Partner Engineer: Partner Intelligence, AI & Apps
- Salary
- $120,500 - $165,650
- Level
- Mid
Not stated in the posting: work type, visa.
Open. First seen 3 October 2026.
About the role
RDQ427R535
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.
About the Role
This partner intelligence engineer owns the internal tooling that runs the ISV partner organization: the pipelines, dashboards, Genie spaces, metric views, and the AI applications and workflows we use to operate the partner business. You will build and maintain that stack on Databricks and use the platform heavily, every day. You will also work with the Apps and AI teams as an early user of new features, and with Developer Relations to share what you build. The role is based in San Francisco and reports into Partner Engineering.
Impact you will have
- Data pipelines and quality: Build, schedule, and maintain the data pipelines that run the partner business, and own their quality, monitoring, and governance.
- Partner metrics and measurement: Own how we measure partners: the metrics, metric views, and definitions that serve as the source of truth for partner performance and health.
- Reporting and self-serve analytics: Build and maintain the dashboards, Genie spaces, and apps the team uses to run the business day to day.
- Internal AI apps: Build AI applications and agentic workflows that automate how we run the partner business.
- Partner AI platforms: Build real internal tools on partner products like Replit, Lovable, Cursor, Claude, and Codex, and bring what you learn about their strengths and gaps back to the AI and Apps partnerships.
- Early Databricks adopter and DevRel: Try new Databricks features early (Apps, Genie, metric views, AI/BI, Lakebase, Agent Bricks), give product teams direct feedback, and work with Developer Relations to turn what you build into reusable examples.
Required Qualifications
- 3+ years in data engineering, analytics engineering, or a similar hands-on data or AI role.
- Heavy hands-on production experience with Databricks data engineering and analytics tool
- Strong SQL and Python, with experience building and maintaining production data pipelines.
- Experience building the analytics layer a team runs on: dashboards, semantic or metric layers, and clear metric definitions.
- Experience building AI applications or agentic workflows (LLM-powered apps and automations).
- Regular hands-on use of AI code-gen and app-building tools (Replit, Lovable, Cursor, Claude, Codex). You use them in your day-to-day work.
- Clear communicator who works well in fast-moving, sometimes ambiguous situations.
- Strong propensity for GSD → Gets Stuff Done!
Preferred
- Depth in Databricks analytics and AI features: Genie, AI/BI, metric views, Lakebase, Agent Bricks.
- dbt or a similar transformation framework, and modern analytics-engineering practices.
- Experience defining business metrics and KPI frameworks.
- Open-source contributions or community work in data and AI.
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.
Zone 1 Pay Range
$120,500—$165,650 USD
Databricks's standard text
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.
What this role asks for
Particular to this role
dbt
Rare in Databricks's other 299 open postings.
Standard for software engineering roles
Python
Common in software engineering postings at any company.
In most of Databricks's ads
Unity
Named in most of its open postings, whatever the role.
77% of this description is written for the role. The rest is Databricks's standard text, folded away below.
Read against Databricks's other open postings on this site.
The team: Product HIRES STEADILY
This role is one of 36 open in Product. 5 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Databricks (36 of 36), Unity (36 of 36), SQL (14 of 36), Machine Learning (13 of 36), Python (11 of 36), Azure (10 of 36), Spark (9 of 36)
OTHER ROLES ON THIS TEAM
- Technical Business Development Manager, Startup & VC Ecosystem posted Oct 13
- Sr. Product Manager, Lakebase/Lakehouse posted Oct 7
- Sr. Product Manager, Lakebase/Lakehouse posted Oct 7
- Staff Product Designer, Agentic Coding posted Sep 29
- Staff Product Manager, US Public Sector posted Sep 23
- Sr. Technology Partner Director - AI Code-Gen & Apps posted Aug 20
- Sr. Developer Advocate, Open Source — Omnigent posted Aug 14
- Sr. Developer Advocate, Open Source — Omnigent posted Aug 14
- Sr. Developer Advocate, AI and Machine Learning posted Aug 14
- Sr. Developer Advocate, AI and Machine Learning posted Aug 14
- Manager, Developer Relations - Open Source posted Aug 14
- Manager, Developer Relations - Open Source posted Aug 14
- Staff Partner Engineer, AI Partnerships posted Jul 22
- Staff Product Designer, AI Products posted Jun 11
- Staff Partner Engineer, Azure posted Apr 16
- Sr. Developer Advocate - Neon posted Feb 19
- Sr. Product Designer, AI/BI posted Feb 19
- Staff Product Manager, Serverless Workspaces posted Feb 18
- Staff Product Manager, Serverless Workspaces posted Feb 18
- Sr. Product Manager, Databricks Repos posted Dec 5
- Sr. Product Manager, Databricks Repos posted Dec 5
- Sr. Product Manager, Databricks Free Edition posted Oct 31
- Sr. Product Manager, Compute Platform posted Oct 7
- Sr. Product Manager, Compute Platform posted Oct 7
- Sr. Product Manager, Lakeflow posted Sep 29
- Sr. Product Manager, Databricks AI posted Aug 25
- Sr. Product Manager, Databricks AI posted Aug 25
- Sr. Product Manager, Data Governance posted Feb 14
- Sr. Product Manager, Data Governance posted Feb 14
- Sr. Product Manager, Databricks Free Edition posted Oct 11
- Staff Product Manager posted Sep 20
- Staff Product Manager posted Sep 20
- Staff Product Manager, Security posted Feb 6
- Staff Product Manager, Security posted Feb 6
- Sr. Product Manager, Data Engineering posted Aug 11
From the team and dates on Databricks's own job board.
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