Full-Time

Director – Technical Revenue

Updated on 2/1/2025

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$187.5k - $287.5kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

San Francisco, CA, USA

Category
Cost Accounting
Financial Accounting
Financial Analysis
Accounting
Required Skills
Databricks

You match the following Databricks's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor’s degree in Business, Finance, Accounting or a related field
  • 15 + years of business experience including 7+ years of accounting experience in revenue or related areas, in accordance with a SOX control framework
  • Demonstrated experience of the ability to think strategically as it relates to the detailed aspects of Revenue functions
  • Leadership experience to align project goals with organization and sponsor goals, while managing ambiguity, risk, and changing the direction of projects and strategies
  • Acute business acumen and understanding of ACS 606 Revenue issues and challenges
  • A detailed understanding of consumption-based accounting under ASC 606 and relevant Software and SaaS ASC 606 topics
Responsibilities
  • Exemplify Databricks culture principles and leadership essentials through proactive and strategic execution
  • Prepare detailed technical accounting memos to support financial reporting and compliance and liaise with the Company’s external auditors on all revenue-related audit issues
  • Primary owner for design, implementation, and management of order to revenue controls to support Sarbanes Oxley compliance
  • Become a trusted advisor to proactively partner with key leaders to understand their objectives, processes, and technology roadmaps to develop a revenue roadmap based on prioritized initiatives
  • Provide thought leadership, guidance, and strategy on technical revenue recognition policy matters and global processes to assist Commercialization, Marketing and Business Development with new product introductions and new business expansion
  • Work closely with Revenue Assurance, Revenue Accounting, and other functions to ensure accurate revenue recognition interpretations and efficient order-to-cash operations
  • Build, develop, and mentor a matrixed high-performing team that embodies the company's values and culture
  • Primary owner for the quarterly executive readout on accounting policy initiatives to executive staff

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. Databricks aims to simplify data management and analytics for its users, making it easier to derive valuable insights from their data.

Company Stage

Debt Financing

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $15 billion in Series J funding for AI product development and expansion.
  • The platform's support for open-source models like Meta's Llama enhances its AI offerings.
  • Growing demand for real-time analytics boosts Databricks' adoption across industries.

What critics are saying

  • Increased competition from Snowflake threatens Databricks' market share in the lakehouse sector.
  • Rapid AI advancements could render Databricks' offerings obsolete without continuous innovation.
  • Integration challenges with new acquisitions may disrupt operations and customer satisfaction.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • The platform supports collaborative data science and machine learning workflows at scale.
  • Databricks offers robust integration capabilities across various cloud environments.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave