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Databricks

Partner Engineer: Partner Intelligence, AI & Apps

Databricks · San Francisco, California

Posted about 2 months ago

or apply directly on Databricks's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Databricks's roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of Databricks's roles list one
Ghost-job risk at Databricks
high
741 stale, 25 reposted of 879 open
Hiring momentum
1112 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Databricks's own greenhouse board since 2026-08-03. Full hiring picture for Databricks.

About this role

The Partner Engineer role at Databricks involves owning and maintaining internal tooling for the ISV partner organization, including data pipelines, dashboards, and AI applications. The engineer will work closely with the Apps and AI teams, building metrics and reporting tools to measure partner performance, while also providing feedback on new Databricks features. This position requires hands-on experience with Databricks and a strong background in data engineering and analytics.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Databricks as an employer.

What you need

  • 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)

Nice to have

  • 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

Worth weighing

  • No specific benefits listed beyond a commitment to comprehensive offerings
  • Pay range transparency provided, but actual compensation may vary based on individual factors
  • Role may involve working in fast-moving and ambiguous situations, which could be challenging for some candidates

Summarised from Databricks's posting. Read the full original.

Listed by Databricks on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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