Full-Time

Director – Technical Revenue

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$162.5k - $287.5kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

Mountain View, CA, USA

Category
Financial Accounting
Tax Accounting
Accounting
Required Skills
Databricks
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 unified platform that combines data lakes and data warehouses, known as lakehouse architecture, allowing organizations to manage, analyze, and gain insights from their data effectively. The platform features automated ETL processes, secure data sharing, and high-performance analytics, making it suitable for data engineers, data scientists, and business analysts across various industries like finance, healthcare, and technology. Unlike its competitors, Databricks focuses on integrating machine learning and AI workloads, enabling users to build and deploy models at scale. The company's goal is to streamline data management and analytics through a subscription-based service, providing clients with the tools they need to harness the power of their data.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion, boosting its valuation to $62 billion in 2023.
  • The company plans to expand globally, including into the Middle East's AI sector.
  • Growing demand for real-time analytics aligns with Databricks' platform capabilities.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • Rapid AI advancements may outpace Databricks' feature integration capabilities.
  • Regulatory scrutiny over data privacy could challenge Databricks' expansion efforts.

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 integrates seamlessly with major cloud services for enhanced data management.

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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