Senior Analytics Engineer - Finance (R6185)
Senior
Analytics Engineering
Artificial Intelligence
Big Data
Bigdata
Business Analytics
Cloud Data Engineering
Cloud Data Platform
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Lakehouse
Data Platform
Data Processing
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Database
Databases
Databricks
Databricks Genie
Reporting and Analytics
Spark
SQL
Job Description
Senior Analytics Engineer (Finance) will design and deliver trusted analytics data products for Corporate FP&A, Accounting, Program Finance, GTM, and Strategic Finance on the Databricks platform.
Responsibilities
- Collaborate with Finance and GTM leaders to shape the analytics roadmap, prioritize high-impact products, and balance competing requirements
- Build governed datasets and semantic models to power reporting, planning, scenario analysis, and strategic decision-making
- Establish modeling and metric standards across domains, using judgment on architecture, data quality, and long-term maintainability
- Develop conversational analytics and AI-enabled workflows, including Databricks Genie, grounded in trusted business context
- Leverage AI coding assistants to accelerate delivery and evaluate new capabilities while maintaining validation and quality
- Own business-facing reconciliation and acceptance, partnering with data engineering to ensure reliable delivery
- Mentor engineers and Finance partners to strengthen technical practices and expand self-service capabilities
Requirements
- Substantial experience in analytics engineering, BI engineering, or financial data modeling, including advanced SQL and a track record delivering production data products
- Proven ability to lead ambiguous, cross-functional initiatives from problem definition through adoption
- Proficiency with AI coding assistants, with strong judgment when reviewing AI-generated work
- Practical experience with AI-assisted analytics, ideally Databricks Genie; Snowflake Cortex or comparable experience is welcome
- Sound architectural judgment, disciplined development practices, and experience mentoring others and influencing senior stakeholders
Technologies
- Databricks
- Databricks Genie
- SQL
- Snowflake Cortex
- Python
Benefits
- Pay within range listed + Bonus + Benefits + Equity
- Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Preferred Qualifications
- Experience with Databricks, Python, semantic layers, or AI application development
- Experience supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance
- Familiarity with enterprise planning, financial controls, or high-growth business environments
Offer Package
- Full-time regular employee: Pay within range listed + Bonus + Benefits + Equity
- Temporary employee: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Location: San Diego, CA (onsite) | Salary: USD 120,000 - 190,000 per yearly
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