GAQ426R180
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Databricks is looking for a Finance Manager to join our FP&A team in our mission to help data teams solve the world's toughest problems. In this role, you will own FP&A responsibilities related to enterprise partnerships. You will work cross-functionally with various stakeholders including Data Engineering and Product to ensure seamless new product introductions and changes to Databricks’ commercialization strategy. Importantly, you will partner externally with Microsoft regularly to facilitate accurate reporting for Databricks’ first party product partnership. Ideal candidates will have a strong background in business operations and product analytics.
Key Responsibilities:
- Partner with Commercialization and Business Development teams to understand and operationalize new partnerships, pricing changes, and new product introductions.
- Partner with GTM and R&D Finance teams to build consumption forecasts and product analytics.
- Own monthly external reporting cadences with Databricks’ cloud partners including Microsoft and SAP.
- Manage communications and serve as the primary business partner to the Databricks GTM leadership team for partner-based consumption.
- Lead reporting and data curation for ad hoc deliverables and events including investor and analyst relations.
Requirements:
- 7+ years of experience in business operations, finance, or a related technical field
- Communication: Excellent communication and interpersonal skills, with the ability to collaborate with technical and non-technical stakeholders. Ability to translate business requirements into technical specifications and communicate effectively with engineering and IT teams.
- Financial Modeling: Be able to understand and update financial models that follow industry best practices. Can maintain complex spreadsheets. Expertise in Google Sheets a plus.
- Proficiency in SQL and experience pulling data from varied sources. Familiarity with data structures and data warehousing models.
- Strong analytical and problem-solving skills with the ability to think strategically and drive business outcomes.
Nice to Have:
- Experience with data management technologies such as data lakes, data warehouses, and data governance tools
- Familiarity with cloud-based data platforms and architectures
- Experience leveraging GenAI tools in a professional setting
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.
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.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.