---
title: 'Senior Payroll Analyst at Databricks'
canonical: 'https://feeny.ai/job/senior-payroll-analyst-databricks-singapore-0zep8vd4z26g'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Payroll Analyst at Databricks

- **Company:** Databricks
- **Location:** Singapore
- **Posted:** 2026-09-11
- **Last confirmed live:** 2026-09-12
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8756140002

## Job description

GAQ327R247

As part of the Databricks Payroll team, you will join a dynamic global organisation that is helping our customers solve some of their toughest problems. You will also ensure our employees are paid accurately, on time, and in compliance with all requirements—allowing them to focus on doing their best work. This role is ideal for a payroll professional who loves hands-on processing, thrives on problem-solving, and brings strong systems skills to handle complex payroll cases without escalation.

The Senior Payroll Analyst will work closely with the Payroll Director to support accurate and timely payroll processing for our Asia region—specifically Australia, Korea, Japan & Singapore, this may change as per org need and design. You will collaborate with payroll vendors, internal partners, and employees to deliver compliant, efficient payroll operations. While you will not be solely responsible for payroll execution, you will play a key role in preparing, validating, and reconciling payroll data, responding to employee inquiries, and supporting projects and process improvements.

This role reports to the Payroll Director based in UK.

The impact you will have:

- Payroll processing support – Partner with the Payroll Analyst team in India to prepare, validate, and reconcile payroll data for the countries specified above or as per org design, ensuring accuracy, compliance, and timely delivery.
- Data validation & audits – Perform pre- and post-processing checks to identify and resolve discrepancies before payroll is finalized.
- Vendor collaboration – Work closely with payroll vendors to troubleshoot issues, resolve variances, and meet Service Level Agreements (SLAs).
- Compliance adherence – Ensure payroll operations follow internal controls, statutory regulations, and company policies for each country.
- Employee case resolution – Respond to and resolve payroll inquiries through the case management tool, providing accurate and timely support.
- Process improvement – Identify and recommend scalable solutions to enhance payroll efficiency and accuracy.
- Documentation maintenance – Develop and update payroll process documentation to support consistency and knowledge sharing.
- Project participation – Contribute to payroll-related projects, system enhancements, and testing activities in the ASIA region.

What we look for:

- Regional payroll expertise – 5-7 years of payroll processing experience in Asia region.
- Global Team Environment - experience working for a multinational and high-growth company.
- Regulatory knowledge – Solid understanding of statutory payroll requirements, including taxes, social security, and government reporting for each supported country.
- System proficiency – Experience with Workday Payroll or a similar HRIS/payroll system, with the ability to learn and adapt to new technologies quickly.
- Analytical & technical skills – Intermediate Excel skills (Pivot Tables, VLOOKUPs, formulas) and the ability to analyse and reconcile payroll data for accuracy.
- Case management experience – Familiarity with case management tools, SLAs, and metrics to track and improve service delivery.
- Collaboration & communication – Proven ability to work effectively with cross-functional partners in HR, Finance, and external vendors.

Why You’ll Love This Role:

This position is perfect for someone who:

- Thrives in a collaborative environment, working closely with other payroll colleagues while contributing to accurate and timely payrolls across multiple countries.
- Enjoys solving payroll challenges and ensuring compliance with local regulations.
- Wants exposure to multi-country payroll complexities and the opportunity to strengthen Asia payroll expertise.
- Values process improvement and the chance to contribute ideas that make payroll operations more efficient.
- Appreciates working in a high-growth company where there’s room to learn, develop, and take on new responsibilities over time.

## 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
- [Sr. Solutions Architect](https://feeny.ai/job/sr-solutions-architect-databricks-sydney-pqnbxxk5wbbe) — Sydney, Australia
- [Staff Systems Development Engineer (GovOps)](https://feeny.ai/job/staff-systems-development-engineer-govops-databricks-mclean-kzev9r1gcg9s) — Mclean, VA