CSQ327R50

Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering for NSW, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how Australia’s leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.

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.

The impact you will have:

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

What we look for:

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

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

**Benefits

**At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.