Manager, Forward Deployed Engineering

Neon; Sydney; Sur place; AUD 150 000 - 200 000; Plein temps

Résumé du poste

Cacheflow is seeking an experienced leader in the ANZ region to drive performance targets and oversee enterprise engagements in technical delivery.

The ideal candidate will have 4+ years of leadership experience and 5+ years in technical architecture or data engineering. Familiarity with Databricks and stakeholder management at the C-suite level are essential.

Join Cacheflow to help shape the future of data and AI.

Qualifications

• 4+ years of people leadership experience in technical delivery.
• 5+ years as a technical solutions architect or data/AI engineer.
• Experience leading large-scale data platform migrations.

Responsabilités

• Drive regional performance targets across the ANZ FDE portfolio.
• Lead high-stakes enterprise engagements.
• Establish best practices for project oversight and quality standards.

Connaissances

People leadership

Technical solutions architecture

Data/AI engineering

Stakeholder management

Familiarity with Databricks

Outils

Databricks

Apache Spark

MLflow

Delta Lake

Description du poste

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.