---
title: 'Manager, Forward Deployed Engineering at Databricks'
canonical: 'https://feeny.ai/job/manager-forward-deployed-engineering-databricks-singapore-emwyp0jkgp7g'
type: 'job'
last_seen: '2026-09-12'
---

# Manager, Forward Deployed Engineering at Databricks

- **Company:** Databricks
- **Location:** Singapore
- **Posted:** 2026-07-15
- **Last confirmed live:** 2026-09-12
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8629997002

## Job description

CSQ427R211

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 Singapore, 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. This role will report to a Sr. Manager, Forward Deployed Engineering.

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 ASEAN/GCR FDE portfolio
- Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational FDE 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 FDE & 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 FDEs 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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

## Other roles at Databricks

- [Specialist Solutions Architect (Security)](https://feeny.ai/job/specialist-solutions-architect-security-databricks-tokyo-zpznx4pjagnw) — Tokyo, Japan
- [Senior Scale Solution Engineer](https://feeny.ai/job/senior-scale-solution-engineer-databricks-heredia-dhkjkjc9m94w) — Heredia, Costa Rica
- [Scale Solution Engineer](https://feeny.ai/job/scale-solution-engineer-databricks-heredia-jxmpya52ndq6) — Heredia, Costa Rica
- [Sr. Engagement Manager, Forward Deployed Engineering - Financial Services](https://feeny.ai/job/sr-engagement-manager-forward-deployed-engineering-financial-services-geky06d7431v) — Northeast United States
- [Lead Learning Product Manager](https://feeny.ai/job/lead-learning-product-manager-databricks-united-states-az62rwgxgs5g) — United States
- [Solutions Architect - Hunter (Communications, Media, Entertainment and Games)](https://feeny.ai/job/solutions-architect-hunter-communications-media-entertainment-and-games-9t1htj4vt5gd) — United States
- [Sr. Manager, AI Forward Deployed Engineering (FDE)](https://feeny.ai/job/sr-manager-ai-forward-deployed-engineering-fde-databricks-california-m0rs3n7pnp8r) — California
- [Solutions Architect, CustomerLake](https://feeny.ai/job/solutions-architect-customerlake-databricks-berlin-bgqy5qdp1wm5) — Berlin, Germany
- [Senior Payroll Analyst](https://feeny.ai/job/senior-payroll-analyst-databricks-singapore-0zep8vd4z26g) — Singapore
- [Sr. Solutions Architect](https://feeny.ai/job/sr-solutions-architect-databricks-sydney-pqnbxxk5wbbe) — Sydney, Australia