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 (R6185) to help design and deliver trusted analytics products across Finance and go-to-market domains. This onsite role in San Diego, CA combines hands-on engineering on Databricks with cross-functional influence, partnering with Finance, Accounting, Program Finance, GTM, and Strategic Finance stakeholders to turn requirements into production-ready data capabilities.
What you’ll do
- Collaborate with Finance and GTM leaders to shape the analytics roadmap, prioritizing high-impact work and resolving competing requirements.
- Design and build governed datasets and semantic models to support reporting, planning, scenario analysis, and strategic decision-making.
- Establish modeling and metric standards across domains, applying judgment on architecture, data quality, and long-term maintainability.
- Build conversational analytics and AI-enabled workflows, including Databricks Genie, grounded in trusted business context.
- Leverage AI coding assistants to speed delivery and explore new capabilities, while maintaining rigorous validation and quality checks.
- Own business-facing reconciliation and acceptance for delivered analytics, working closely with data engineering to ensure reliable outcomes.
- Mentor engineers and Finance partners to strengthen technical practices and improve self-service analytics capabilities.
What you bring
- Substantial experience in analytics engineering, BI engineering, or financial data modeling, including advanced SQL and a track record of delivering production data products.
- Proven ability to lead ambiguous, cross-functional efforts from problem definition through adoption.
- Comfort with AI coding assistants and strong 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 decision-making, disciplined development practices, and experience mentoring others and influencing senior stakeholders.
Technologies
- Databricks
- Databricks Genie
- SQL
- Snowflake Cortex
- Python
Compensation and benefits
- Salary range: USD 120,000 - 190,000 per year
- Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity
- Temporary employee offer package: 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.
Location: San Diego, CA (onsite)