Analytics Engineer
Core
Architect scalable analytics systems and AI-enabled workflows to power enterprise decision-making and embed data into operational processes.
Role type
Senior Analytics Engineer (AI & Data Infrastructure)
Builds
Scalable dbt data models, ELT pipelines, and AI-driven operational use cases for Product, Engineering, and Design.
Domain
Enterprise SaaS, Security Operations, AI/ML
Deliverable
production ML models | infrastructure
Required skills
SQL, modern data modeling (dimensional modeling, data contracts), cloud data warehouses (Snowflake, BigQuery, Redshift), ELT practices, systems-level design
Preferred skills
dbt, Fivetran, Hightouch, Omni, Notion, Cursor, Glean, RevOps metrics (ARR, retention)
Technologies
Snowflake, Fivetran, dbt, Hightouch, Omni, Notion, Cursor, Glean
Responsibilities
Design and maintain scalable dbt data models; Architect data pipelines using Fivetran and modern ELT; Build data foundations for internal AI applications and LLM workflows; Partner with cross-functional teams to translate business needs into technical systems; Establish modeling standards and governance frameworks; Create reusable data assets for activation and analysis.
Seniority
Senior, hands-on IC