Data Platform Engineer
Core
Build the foundational data platform powering analytics, AI, and decision-making for a SaaS serving local business owners.
Role type
Senior Data Platform Engineer
Builds
Production-grade data ingestion, transformation, storage, orchestration, and reverse ETL layers for internal BI and AI systems.
Domain
SaaS / SMB Software / Data Infrastructure
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL, Python, Snowflake, dbt, Dagster, ETL/ELT, data pipeline design, system reliability, cost optimization
Preferred skills
Semantic layer design, AI/ML data infrastructure (RAG, feature stores), reverse ETL, Databricks, data governance, mentoring
Technologies
Snowflake, dbt, Dagster, Fivetran, Portable, Metaplane, Select.dev, PostHog, GA4, Hightouch, Census, Sigma
Responsibilities
Design and build data systems for analytics and AI; replace custom scripts with reproducible pipelines; own core platform evolution; improve data reliability and compliance; enable self-service tooling; optimize compute and storage costs; provide technical guidance to peers.
Seniority
Senior, hands-on IC