Data Analytics Engineer
Core
Architect and build a cloud data warehouse infrastructure to enable reliable, scalable business analytics and AI-assisted reporting.
Role type
Senior Data Analytics Engineer
Builds
Cloud data warehouse, ELT pipelines, semantic models, and data products for enterprise analytics
Domain
SaaS / Enterprise Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, cloud data warehouse architecture, ELT pipeline design, dbt or SQLMesh, Python, data governance, data quality, BI/semantic-layer platforms
Preferred skills
AI-assisted reporting, natural-language analytics, GTM/Customer Success platforms, machine learning/statistical forecasting
Technologies
Snowflake, BigQuery, dbt, SQLMesh, Omni, Looker, Tableau, Salesforce, Gainsight, HubSpot
Responsibilities
Architect and maintain a modern cloud data warehouse; own end-to-end data transformations; design and maintain ELT pipelines; establish technical foundation for BI and semantic layers; develop curated data models; own data quality, governance, and lineage; partner with stakeholders to translate measurement needs into analytical solutions; support AI-powered querying and natural-language analytics
Seniority
Senior, hands-on IC
