Full-Time

Director – Finance Transformation and Systems

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

$177.9k - $314.8kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

San Francisco, CA, USA

Candidates from other locations will also be considered.

Category
Financial Planning and Analysis (FP&A)
Risk Management
Finance & Banking
Required Skills
NetSuite
Python
SQL
SAP Products
Requirements
  • Bachelor's degree in Business, Finance, Accounting, or a related field
  • US GAAP and ASC 606 technical accounting experience with a focus on software and SaaS complexities
  • 10+ years of business process improvement experience
  • 10+ years of accounting experience in revenue or related areas, observing a SOX control framework
  • Experience in multiple Accounting and Finance flows including order to revenue, commissions, equity, procure to pay, and cash/treasury
  • Experience with the implementation of homegrown systems and large-scale ERPs (e.g. SAP)
  • Experience with SFDC, Netsuite, and SAP
  • Experience implementing large-scale developments including homegrown solutions
  • Experience delivering complex projects with multiple milestones and dependencies
  • Experience in SQL and Python is a plus
Responsibilities
  • Lead implementation of XL finance and accounting systems related to OTC, PTP, Tax and Treasury, and others
  • Responsible for the execution of implementation phases including Unit Testing, SIT, UAT, Parallel Runs, and Hypercare
  • Management of SIs and large-scale consulting and advisory engagements
  • Collaboration with IT on project roadmaps, system enhancements, and new functionality development for homegrown solutions
  • Drive strategic system and process requirements to ensure automation enables commercialization and business growth
  • Drive E2E SOX compliance on relevant system implementations and product roadmap development
  • Identification of key areas of automation opportunities for system transformation
  • Documentation of RFPs, gap analyses, and strategies around vendor selection
  • Drive end-to-end system automation journeys across Finance with a focus on system enhancements and gaps

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, professional services, and support. Databricks aims to simplify data management and analytics for its users.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

8%

1 year growth

38%

2 year growth

72%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion for AI product development and global expansion in 2023.
  • The company has over 500 customers with $1 million+ annual run rates, indicating strong market presence.
  • Databricks' expansion into Saudi Arabia aligns with Vision 2030, enhancing its Middle East presence.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share in the lakehouse sector.
  • Integration challenges from acquiring Tabular may delay product development and affect satisfaction.
  • Expansion into Saudi Arabia may face geopolitical risks and regulatory hurdles, impacting growth.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse architecture.
  • The platform supports collaborative data science and machine learning workflows, enhancing team productivity.
  • Databricks integrates with various cloud services, facilitating seamless data management and analysis.

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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