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
Data Warehouse
Database
Databases
Databricks
Databricks Genie
Reporting and Analytics
Spark
SQL
Job Description
SHIELD AI is hiring a Senior Analytics Engineer (Finance) to design and deliver trusted data products for Finance and go-to-market stakeholders.
Key Responsibilities
- Collaborate with Finance and GTM leaders to shape the analytics roadmap, prioritize high-impact products, and resolve competing requirements
- Design and deliver governed datasets and semantic models that enable reporting, planning, scenario analysis, and strategic decision-making
- Set modeling and metric standards across domains, applying judgment across architecture, data quality, and maintainability
- Build conversational analytics and AI-enabled workflows, leveraging Databricks Genie with grounded, trusted business context
- Use AI coding assistants to accelerate delivery and explore new capabilities while maintaining rigorous validation and quality
- Own business-facing reconciliation and acceptance for outputs, partnering with data engineering for 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, with advanced SQL and a record of shipping production data products
- Proven ability to lead ambiguous, cross-functional work from problem definition through adoption
- Proficiency with AI coding assistants and sound judgment when reviewing generated work
- Practical experience with AI-assisted analytics, ideally Databricks Genie; experience with Snowflake Cortex or comparable tools is welcome
- Sound architectural judgment and disciplined development practices
- Experience mentoring others and influencing senior stakeholders
Technology Stack
- Databricks
- Databricks Genie
- SQL
- Snowflake Cortex
- Python
Benefits
- Pay within the range listed + Bonus + Benefits + Equity
- Pay within the 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
Compensation
- USD 120,000 - 190,000 per yearly
Location: San Diego, CA (onsite)
Employment Type: Full-time regular employee offer package (or temporary employee offer package as applicable)
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