Databricks

Staff Forward Deployed Engineer

Databricks · Berlin, Germany; Munich, Germany

Posted 12 days ago

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

Is this posting real?

This role has been open
12 days
Databricks's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of Databricks's roles list one
Ghost-job risk at Databricks
low
0 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
2026-09-17

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

As a Staff Forward Deployed Engineer at Databricks, you will collaborate with customers to develop and implement solutions for their data and AI challenges using the Databricks platform. Your role involves leading architecture decisions, designing production-grade systems, and ensuring successful project delivery while working closely with client teams and internal stakeholders. You will also contribute to best practices and reusable assets to enhance the impact of Databricks solutions across various accounts.

Our read on this posting3.0out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
5/5
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

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps, ML/AI models and AI APIs

Nice to have

  • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects

Worth weighing

  • Travel to customers 20% of the time
  • No specific salary or benefits details provided in the posting
  • Role involves significant customer interaction and project management responsibilities

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

Listed by Databricks on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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