Design and maintain scalable dbt data models in Snowflake that serve as trusted sources of truth across the business
Architect data pipelines and transformation workflows using Fivetran and modern ELT practices
Develop durable, extensible data assets that evolve as the company scales
Establish modeling standards, documentation practices, and governance frameworks
Partner with RevOps and Finance to define and operationalize core SaaS metrics (ARR, retention, expansion, pipeline, etc.)
Build data foundations that power internal AI applications and LLM-enabled workflows
Prototype and productionize AI-driven operational use cases
Integrate analytics and AI into everyday workflows using tools such as Notion, Cursor, Glean, and other emerging platforms
Design systems that embed data directly into operational processes — not just dashboards
Partner with leaders across Sales, CS, Marketing, Finance, Product, and Engineering to translate business needs into scalable technical systems
Create reusable data assets that enable activation via Hightouch and analysis via Omni
Ensure architecture is scalable, secure, and adaptable to evolving enterprise requirements

Requirements

3–6+ years of experience in analytics engineering, data engineering, or similar hands-on roles
Strong SQL skills and deep understanding of modern data modeling (dimensional modeling, transformations, data contracts, etc.)
Experience building in cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)
Comfort working in a fast-moving, evolving AI tooling landscape
Systems-level thinker who designs for scalability, extensibility, and flexibility
Naturally curious and energized by solving ambiguous problems
Pride in building clean, durable architecture — not just shipping quick fixes
Strong communication skills and ability to collaborate across business and technical teams

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata modelingdimensional modelingtransformationsdata contractsdbtdata pipelinesELT practicescloud data warehousesAI-driven operational use cases

Soft Skills

communicationcollaborationcuriosityproblem-solvingsystems thinkingscalabilityextensibilityflexibilityattention to detaildocumentation