Senior Analytics Engineer - Finance (R6185)

The role

This senior role leads the design and delivery of trusted data products for Corporate FP&A, Accounting, Program Finance, GTM, and Strategic Finance. The work centers on the Databricks platform, with AI-enabled decision support and mentoring of engineers and Finance partners.

What you will do

• Shape the analytics roadmap with Finance and GTM leaders
• Build governed datasets and semantic models for reporting, planning, scenario analysis, and strategic decisions
• Set modeling and metric standards across domains
• Develop conversational analytics and AI-enabled workflows, including Databricks Genie
• Use AI coding assistants to speed delivery while validating quality
• Own business-facing reconciliation and acceptance with data engineering
• Mentor engineers and Finance partners

Required qualifications

• Bachelor's degree in computer science or a related technical or quantitative field and at least 5 years of related experience, OR Master's and at least 3 years of related experience
• Substantial experience in analytics engineering, BI engineering, or financial data modeling
• Advanced SQL and a record of delivering production data products
• Demonstrated ability to lead ambiguous, cross-functional work from problem definition through adoption
• Proficiency with AI coding assistants and judgment when reviewing generated work
• Practical experience with AI-assisted analytics, ideally Databricks Genie
• Architectural judgment, disciplined development practices, and experience mentoring and influencing senior stakeholders

Nice to have

• 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
• Adjacent Snowflake Cortex or comparable experience

Benefits

• Bonus
• Equity
• Benefits (full-time regular employees; not eligible for military fellows or part-time employees)
• Temporary benefits package, applicable after 60 days of employment (temporary employees)

Before you apply

• All offers are contingent on a cleared background check and possible reference check
• Pay depends on factors including skill set, experience, licences and certifications, and work location

About the company

Shield AI is a venture-backed defense-tech company that builds intelligent systems to protect service members and civilians. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.