Data & Analytics Engineer
Core
Building and optimizing Snowflake data infrastructure, pipelines, and AI-enabled data foundations for revenue operations, finance, and executive decision-making.
Role type
Senior Data & Analytics Engineer (Snowflake/AI)
Builds
Production-grade ELT pipelines, data models, AI feature stores, and governance layers for Snowflake.
Domain
SaaS / Revenue Operations / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Snowflake architecture, Snowpark (Python), AWS serverless (Lambda/Glue/S3), SQL, data modeling, data governance, infrastructure-as-code, Tableau knowledge
Preferred skills
Snowflake Cortex, agentic AI workflows, event-driven pipelines, SaaS revenue metrics modeling, GTM/RevOps data sources
Technologies
Snowflake, Python, AWS (Lambda, Glue, S3), Tableau, Terraform, Salesforce, Gong, ChurnZero, Pendo, Eloqua, Demandbase
Responsibilities
Design and optimize Snowflake schemas and security; build incremental pipelines using Streams/Tasks; develop AI-enabled data foundations and feature stores; manage data quality, lineage, and governance; partner with stakeholders to translate requirements into technical specs.
Seniority
Senior, hands-on IC