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Senior Analytics Engineer - Finance

shieldai · San Diego

New
Senior 🇬🇧 English
SQL Databricks Databricks Genie Snowflake Cortex Python Semantic layers

Job description

About the role

Shield AI, a venture-backed defense-tech company, is looking for a Senior Analytics Engineer to lead the design and delivery of trusted data products for Corporate FP&A, Accounting, Program Finance, GTM and Strategic Finance. This senior individual contributor role combines hands-on engineering with cross-functional influence and mentorship, turning business priorities into AI-enabled decision support on the Databricks platform.

Key responsibilities

  • Shape the analytics roadmap with Finance and GTM leaders, prioritizing high-impact products and resolving competing requirements.
  • Build governed datasets and semantic models supporting reporting, planning, scenario analysis and strategic decisions.
  • Set modeling and metric standards across domains, judging architecture, quality and maintainability.
  • Develop conversational analytics and AI-enabled workflows, including Databricks Genie, grounded in trusted business context.
  • Use AI coding assistants to speed delivery while keeping rigorous validation and quality.
  • Own business-facing reconciliation and acceptance, partnering with data engineering on reliable delivery.
  • Mentor engineers and Finance partners and strengthen technical practices and self-service capabilities.

Required profile

  • Substantial experience in analytics engineering, BI engineering or financial data modeling, with advanced SQL and a record of delivering production data products.
  • Ability to lead ambiguous, cross-functional work from problem definition through adoption.
  • Sound architectural judgment, disciplined development practices and experience mentoring others and influencing senior stakeholders.

Required skills

  • Advanced SQL and proficiency with AI coding assistants.
  • Practical experience with AI-assisted analytics, ideally Databricks Genie; Snowflake Cortex or comparable experience is welcome.
  • Preferred: Databricks, Python, semantic layers, AI application development, and experience supporting FP&A, GTM, Strategic Finance, Accounting or Program Finance.

Questions fréquentes

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Source : ats:lever

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Published 11 hours ago

Expires 1 month from now

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shieldai

San Diego