---
title: 'Senior Financial Analyst - Strategic GTM Finance at Databricks'
canonical: 'https://feeny.ai/job/senior-financial-analyst-strategic-gtm-finance-databricks-mountain-view-2etdwzed4ent'
type: 'job'
last_seen: '2026-11-07'
---

# Senior Financial Analyst - Strategic GTM Finance at Databricks

- **Company:** Databricks
- **Location:** Mountain View, CA / San Francisco, CA
- **Compensation:** $137k–$189k
- **Posted:** 2026-02-18
- **Last confirmed live:** 2026-11-07
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8414474002

## Job description

GAQ227R124

While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.

Databricks is looking for a Senior Financial Analyst to join the Sales Finance (Topline Analytics) team in the FP&A organization. You will report to the Senior Finance Manager. Topline Analytics owns the company's view of the top line across consumption, bookings, billings, and cash.

In this role, you will own key parts of the bookings and cash forecasts and work as an extension of Sales Strategy & Operations.

The impact you will have:

- Bookings forecasting - own and refine the bookings forecast
- Cash forecasting - build and maintain the cash collections forecast (linking consumption, bookings, and billings)
- Partner with sales strategy and sales operations, and provide recommendations to finance leadership
- High visibility role to senior leadership across Finance and Sales

What we look for:

- Bachelor’s degree in Business, Economics, Accounting, Finance, or a comparable field
- 3+ years of corporate finance, management consulting, or investment banking experience; familiarity with the software industry (and SaaS) a plus
- Experience in building financial models independently and preparing recommendations
- Solid understanding of Generally Accepted Accounting Principles (GAAP)
- Excellent analytical, organizational, and collaboration skills
- Experience simplifying and scaling while supporting a fast-moving, high-growth business
- Curiosity to learn and solve problems independently
- Ability to prioritize objectives in a fast-paced environment to ensure deliverables are met in a timely manner
- Expert in Excel/Google Sheets (can maintain complex spreadsheets); comfortable managing large datasets and driver-based models
- Prior experience using SQL or willingness to learn

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf).

Zone 1 Pay Range $137,400—$189,000 USD

## 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

- [Senior Software Engineer - Backend Infrastructure](https://feeny.ai/job/senior-software-engineer-backend-infrastructure-databricks-bengaluru-vpasw6hzvvmz) — Bengaluru, India
- [Tech Sourcer (Contract)](https://feeny.ai/job/tech-sourcer-contract-databricks-bengaluru-qcngncprng8c) — Bengaluru, India
- [Senior Delivery Partner Manager, Services](https://feeny.ai/job/senior-delivery-partner-manager-services-databricks-paris-kbmq216ns03q) — Paris, France
- [Senior Delivery Partner Manager, Services](https://feeny.ai/job/senior-delivery-partner-manager-services-databricks-london-wr7h4swwwnve) — London, United Kingdom
- [Strategic Account Executive, Telco](https://feeny.ai/job/strategic-account-executive-telco-databricks-finland-a76twpqacb3f) — Finland
- [Senior Solutions Architect - Lakebase](https://feeny.ai/job/senior-solutions-architect-lakebase-databricks-stockholm-t18rnhc9p7b2) — Stockholm, Sweden
- [Revenue Enablement Manager](https://feeny.ai/job/revenue-enablement-manager-databricks-seoul-4vpvc8n4fnkv) — Seoul, South Korea
- [Director of Engineering - Databricks Commercialization & Marketplace](https://feeny.ai/job/director-of-engineering-databricks-commercialization-marketplace-databricks-kd9w2zy06vn9) — Bellevue, WA
- [Staff Forward Deployed Engineer](https://feeny.ai/job/staff-forward-deployed-engineer-databricks-usca-xepft1k0dvwk) — USCA
- [Sr. Forward Deployed Engineer - Public Sector](https://feeny.ai/job/sr-forward-deployed-engineer-public-sector-databricks-alabama-berkeley-ca-tka7hfbcjmz4) — Alabama / Berkeley, CA / Connecticut / Kansas City, MO / Maryland / New Hampshire / New Jersey / North Carolina / Rhode Island / San Diego, CA / South Carolina