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
As the Manager of Forward Deployed Engineering at Databricks, you will lead a team of engineers focused on delivering data and AI solutions for strategic customers. Your role involves mentoring team members, guiding complex technical engagements, and ensuring high-quality delivery while maintaining hands-on involvement in technical challenges. You will also collaborate with various stakeholders to improve processes and drive business outcomes.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- 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
- Experience leading, hiring, and developing high-performing technical teams in customer-facing environments
- Current, hands-on technical credibility in data engineering and production data platform delivery
- Strong background in data engineering, big data systems, and production data platform delivery
- Strong hands-on fluency in Python and SQL; familiarity with distributed processing frameworks (Apache Spark) and JVM languages (Scala/Java) is a plus
- Ability to scope and guide complex technical engagements, manage escalations, and ensure successful delivery across multiple stakeholders
- Fluent Japanese and business-level English are required
Nice to have
- Experience delivering lakehouse, analytics, or AI-adjacent solutions in complex enterprise environments
- Deep hands-on understanding of Apache Spark, distributed data processing, and modern data architecture patterns
- Familiarity with data governance, security, and platform operating models
- Experience building reusable delivery frameworks, technical accelerators, or practice-level standards
- Track record of influencing cross-functional strategy across sales, product, and delivery organizations
Worth weighing
- No salary listed
- Role requires fluency in Japanese, which may limit candidate pool
- Hands-on technical involvement expected, which may not suit all management styles
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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