Partner Engineer: Partner Intelligence, AI & Apps
Databricks · San Francisco, California · Product · listed July 22, 2026
The shape of it
Seniority
Executive
Where
Not stated
Stated pay
$101,900 – $140,150 USD
Requirements listed
8
Length
876 words
In the posting’s own words
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.
What it asks for · 8
- 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!
Also a plus
- 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.
Tools and skills named
Data
- Databricks6×
- Data pipelines3×
- dbt
Languages
- Python
- SQL
Go to market
- Partnerships
Models & research
- LLM
Product & design
- User experience
Words the posting leans on
- data11×
- partner11×
- metric9×
- build7×
- apps6×
- business6×
- analytics5×
- run5×
- engineering4×
- genie4×
- metric views4×
- applications3×
- data pipelines3×
- early3×
- experience building3×
- features3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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