Principal Analytics Engineer

What you'll do

• Model GTM metrics and maintain their semantic-layer definitions, documentation, and monitoring.
• Own the metrics certification framework and catalog, set modeling standards, and resolve conflicting metric definitions across teams.
• Build internal AI agents and data-grounded tools, and mentor analytics engineers and analysts.

What they ask for

• 8+ years in analytics engineering, including staff- or senior-level technical direction.
• Extensive SQL, data modeling, transformation, and dbt expertise, including advanced patterns, macros, packages, testing, and SCD tables from multiple sources.
• Expertise with Snowflake, dbt, and a semantic or BI layer such as Omni or Hex; experience designing semantic models or metric layers for human and AI use.
• Experience modeling CRM and marketing automation systems; setting standards others follow; and AI-assisted development, including agentic pipeline design and MCP servers.

Nice to have

• Experience in regulated or high-sensitivity data environments, enabling analysts outside the core team to contribute production models, or B2B SaaS.
• Experience selling to small and mid-sized businesses or professional services firms.

Pay

$220,000 — $250,000 USD (salary range; base salary or total pay not specified)

Tools

SQL, dbt, Snowflake, Omni, Hex, HubSpot, DealHub, Apollo, Clay

AI focus

Design semantic models for AI consumption and build internal AI agents and data-grounded tools that answer GTM stakeholders’ questions; use AI-assisted development, agentic pipeline design, and MCP servers.