Data Analytics Engineer
Core
Architecting and standing up the first cloud data warehouse, ELT pipelines, and governance to serve as the single source of truth for business analytics and internal AI use cases.
Role type
Senior Analytics Engineer (Foundational Build)
Builds
Cloud data warehouse, ELT pipelines, semantic layer, and curated data models for product usage and GTM reporting.
Domain
SaaS / Network Automation / Data Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud data warehouse architecture, ELT pipeline design, SQL, dbt or SQLMesh, Python scripting, BI/semantic-layer tooling, data governance
Preferred skills
AI-assisted reporting foundations, GTM/Customer Success data sources (Salesforce, Gainsight), statistical forecasting (time-series, churn)
Technologies
Snowflake, BigQuery, dbt, SQLMesh, Python, Omni, Looker, Tableau
Responsibilities
Architect and maintain the cloud data warehouse; own end-to-end warehouse transformations; design and maintain ELT pipelines; contribute to the semantic layer and metric definitions; own data quality, governance, and lineage; build curated data models for product usage and go-to-market reporting.
Seniority
Senior, hands-on IC
