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Databricks

Builds cloud software for data analysis and AI

Manager, Forward Deployed Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listedIn-person

About the Job

Requirements

  • At least 4 years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations.
  • At least 5 years of hands-on individual-contributor experience as a technical solutions architect or data or AI engineer.
  • Demonstrated success leading large-scale data platform migrations and artificial intelligence or machine learning programs in enterprise environments across industries such as Finance, Healthcare, Retail, Telecommunications, 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.

Responsibilities

  • Drive regional performance targets, including billable utilization, team growth, and hiring, while championing delivery excellence and customer success across the ANZ Forward Deployed Engineering portfolio.
  • Lead high-stakes enterprise engagements and partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational professional services programs spanning data migrations, AI and machine learning platforms, and advanced analytics.
  • Establish best practices for project oversight, risk management, and quality standards to provide delivery governance and operational rigor as the Resident Solutions Architect and AI Engineering practice grows.
  • Serve as the executive escalation point for critical customer situations, using technical credibility and leadership judgment to protect strategic relationships and drive resolution.
  • Develop and retain technical talent by mentoring Resident Solutions Architects and AI Engineers through structured career pathways and technical coaching.

Desired Qualifications

  • Hands-on experience with Databricks or a direct competitor is highly valued.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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