Partner Engineer: Partner Intelligence, AI & Apps
Own the internal tooling for the ISV partner organization at Databricks, focusing on data pipelines, dashboards, and AI applications.
Skills & Technologies
AI in the day-to-day
Regular hands-on use of AI code-gen and app-building tools in day-to-day work.
Requirements
- Experience
- 3+ years
Joblaze summary
In this role, the Partner Engineer focuses on developing and maintaining internal tools that support the ISV partner organization, including data pipelines, dashboards, and AI applications. Proficiency in Databricks, SQL, and Python is essential, along with experience in building analytics layers and AI-driven workflows. This position is ideal for someone with over three years of hands-on experience in data engineering or analytics, who thrives in dynamic environments and is adept at clear communication. The role offers a chance to work closely with innovative AI features and contribute to the evolving landscape of data solutions.
Joblaze insights
- Listed 5 days ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 834 other open roles including Manager, Forward Deployed Engineering, Field Marketing Manager - France, Middle East & Africa, Enterprise Account Executive.
- 2585 active Python roles on Joblaze right now.
- 1167 active SQL roles on Joblaze right now.
- 680 active AI roles on Joblaze right now.
- Salary band is below the typical range for Data Engineering roles (median ~$180,656).
- Pays more than 12% of the 1513 salaried Python roles we track (median $160,000).
Quick facts
- Is the Partner Engineer: Partner Intelligence, AI & Apps role remote?
- No — this is an on-site role in San Francisco, California.
- What's the salary range?
- Databricks lists $101,900–$140,150 for this role.
- How much experience is required?
- At least 3 years of relevant experience for this Partner Engineer: Partner Intelligence, AI & Apps role.
- Where is the role based?
- Databricks is hiring for this position in San Francisco, California.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Cursor, Dashboards, Agent Bricks, Lovable, Data Pipelines, Replit.
- What seniority level is this role?
- Databricks targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Partner Engineer: Partner Intelligence, AI & Apps role at Databricks.
From the original posting
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.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.