Databricks

1 week ago

Manager, Forward Deployed Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead a team of Forward Deployed Engineers and AI Engineers for NSW, partnering with strategic enterprise accounts to deliver mission-critical solutions. Own regional performance targets, engagement execution, and delivery governance across data migrations, legacy modernization, and next-generation generative AI programs. Serve as escalation point for critical customer situations, mentor Resident Solutions Architects and AI Engineers, and help grow a high-quality, measurable RSA and AI Engineering practice.

Location: New South Wales, Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Drive regional performance targets, including billable utilization, team growth, and hiring, while championing delivery excellence and customer success across the ANZ FDE portfolio.
•Lead high-stakes enterprise engagements by partnering with account and field engineering leaders to position and deliver transformational professional services programs spanning data migrations and AI/ML platforms.
•Establish delivery governance and operational rigor through best practices for project oversight, risk management, and quality standards for the RSA and AI Engineering practice.
•Act as an executive escalation point for critical customer situations to protect strategic relationships and drive resolution.
•Develop and retain technical talent by mentoring Resident Solutions Architects and AI Engineers via career pathways, technical coaching, and a culture of continuous growth.

Key Requirements

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

Experience:Enterprise environmentsData migrationsAI/ML programs

Skills:Stakeholder managementExecutive presenceDelivery excellenceLeadership judgmentMentoring

Languages:English

Tech Stack:DatabricksApache SparkMLflowDelta LakeLakehouseMLOpsGenAIAI agent

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 week ago

Manager, Forward Deployed Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: New South Wales, Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Drive regional performance targets, including billable utilization, team growth, and hiring, while championing delivery excellence and customer success across the ANZ FDE portfolio.
•Lead high-stakes enterprise engagements by partnering with account and field engineering leaders to position and deliver transformational professional services programs spanning data migrations and AI/ML platforms.
•Establish delivery governance and operational rigor through best practices for project oversight, risk management, and quality standards for the RSA and AI Engineering practice.
•Act as an executive escalation point for critical customer situations to protect strategic relationships and drive resolution.
•Develop and retain technical talent by mentoring Resident Solutions Architects and AI Engineers via career pathways, technical coaching, and a culture of continuous growth.

Key Requirements

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

Experience:Enterprise environmentsData migrationsAI/ML programs

Skills:Stakeholder managementExecutive presenceDelivery excellenceLeadership judgmentMentoring

Languages:English

Tech Stack:DatabricksApache SparkMLflowDelta LakeLakehouseMLOpsGenAIAI agent

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn