Senior Analytics Engineer
Core
Design, build, and own core analytics infrastructure and data models to power data-driven decision-making across the organization.
Role type
Senior Analytics Engineer
Builds
Scalable analytics data models, trusted data pipelines, reusable datasets, and semantic layers for self-service analytics.
Domain
Enterprise Data Engineering / Cloud Data Warehousing
Deliverable
production ML models
Required skills
SQL, dbt, Python, dimensional modeling, data quality testing, data lineage, CI/CD, Terraform
Preferred skills
Snowflake, BigQuery, Databricks, Airflow, Tableau, data cataloging
Technologies
Snowflake, BigQuery, Fivetran, Airflow, Databricks, Terraform, GitHub, Tableau
Responsibilities
Design scalable analytics data models; build and manage data pipelines and transformation workflows; establish data definitions and metrics; develop reusable datasets and semantic models; improve infrastructure reliability and observability; implement data quality checks and monitoring; collaborate with data engineers to optimize architecture; work with stakeholders to translate business needs into data solutions.
Seniority
Senior, hands-on IC