---
title: 'Recruiter (Contract) at Databricks'
canonical: 'https://feeny.ai/job/recruiter-contract-databricks-singapore-war7vpcy2vn8'
type: 'job'
last_seen: '2026-11-07'
---

# Recruiter (Contract) at Databricks

- **Company:** Databricks
- **Location:** Singapore
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-11-07
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8771702002

## Job description

GAQ427R204

Mission:

We're looking for a Recruiter to be the driving force behind hiring the technical talent that powers our go-to-market engine across Singapore (Asean/Greater China Region) — Solutions Architects, Forward Deployed Engineers, and the broader Field Engineering org. These are the people who sit shoulder-to-shoulder with our customers, turn the world's hardest data and AI problems into production reality, and make Databricks impossible to compete against. Your job is to find them, win them, and close them.

This is an exciting time to be part of the rocketship and the Databricks expansion in India. We're scaling fast, the bar is high, and the demand for elite technical pre-sales and field talent has never been more intense. You'll own full-cycle hiring for some of the most sought-after profiles in the market, partnering directly with Field Engineering leadership to build teams that don't yet exist.

Recruiters at Databricks are subject matter experts when it comes to talent attraction and are given full autonomy to bring new ideas and creative approaches to life. If you thrive in ambiguity, move fast, and get energy from building in a high-growth, high-pressure environment, read on.

The impact you will have:

- Own full-cycle recruiting for technical GTM roles across Singapore (Asean/Greater China Region) — Solutions Architects, Forward Deployed Engineers, and Field Engineering leadership — from first outreach to close.
- Partner with Field Engineering and Sales leaders as a true strategic advisor on sourcing strategy, market mapping, competitive intelligence, comp positioning, and talent insights.
- Activate and engage passive, hard-to-reach technical talent — the builders and problem-solvers who aren't actively looking but are exactly who we need.
- Build and sustain engaged talent pipelines that can keep pace with aggressive hiring goals and our continued APJ expansion.
- Create closing strategies that win against the most competitive offers in the market and manage stakeholder expectations with data.
- Use data to set benchmarks and metrics, drive workforce planning, and continuously sharpen our hiring process as we scale.
- Champion a world-class candidate experience and act as a brand ambassador for Databricks at every touchpoint.
- Play a key role in building a diverse, inclusive, and exceptionally high-caliber workforce.

What we look for:

- Proven experience recruiting within the software / Data / AI industry, ideally for technical GTM, pre-sales, Solutions Architecture, or Field Engineering profiles.
- A track record of scaling teams at a high-growth company — you know what it takes to hire fast without dropping the bar.
- High energy, grit, and a relentless work ethic — you get stuff done and you don't wait to be told how.
- An "AI builder" mindset: genuinely curious about the technology, hands-on with new tools, and able to speak credibly to deeply technical candidates.
- Comfort with chaos — you stay calm, prioritize ruthlessly, and thrive when the goalposts move and the pressure is on.
- The ability to build strategic partnerships across the business and influence senior stakeholders with data and conviction.
- A creative, resourceful approach to sourcing — you don't rely on the obvious channels and you love finding talent others can't.
- Strong ownership and a bias for action; you treat your reqs like they're your own business.

## 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)

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