Manager, Forward Deployed Engineering

Databricks · Singapore · Professional Services Operations · listed July 15, 2026

The shape of it

Seniority
Manager
Experience asked
4–5 years
Where
Not stated
Requirements listed
5
Length
695 words

In the posting’s own words

As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with ASX100 enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.

What it asks for · 5

  • 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations—with a proven track record of building excellence-driven cultures
  • 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners
  • Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy
  • Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level
  • Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued

What the job covers

  • Drive regional performance targets—including billable utilisation, team growth, and hiring—while championing delivery excellence and customer success across the ANZ FDE portfolio
  • Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics
  • Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing RSA & AI Engineering practice
  • Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution
  • Develop and retain exceptional technical talent: mentor Resident Solutions Architects and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth

Tools and skills named

Data
  • Databricks5×
  • Spark2×
  • Data warehouse
Go to market
  • Customer success
  • Solutions architecture
Models & research
  • Machine learning2×
Operations & finance
  • Stakeholder management
Security & compliance
  • Risk management
Ways of working
  • Mentorship

Words the posting leans on

  • technical7×
  • data6×
  • customer5×
  • enterprise5×
  • architect4×
  • delivery4×
  • engineers4×
  • experience4×
  • migrations4×
  • solutions4×
  • drive3×
  • engagement3×
  • engineering3×
  • executive3×
  • impact3×
  • organisations3×

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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How this page was made

An automated read of a public job posting, fetched August 29, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.