Senior Analytics Engineer

Expert proficiency in dbt Expert proficiency in data modeling approaches and philosophies (e.g., Kimball, OBT) Expert proficiency with at least one cloud data warehouse (e.g., Snowflake, BigQuery) Expert proficiency with version control and git Programming languages (e.g., SQL, Python) Business intelligence platforms (e.g., PowerBI, Sigma) Knowledge of common data integration patterns (e.g., CDC, ELT) Knowledge of common data integration / orchestration platforms (e.g., Fivetran, Dagster, Apache Airflow)

Lead complex technical implementations and shape data architecture Drive adoption of best practices for dbt development, testing, and CI/CD Partner with analysts, engineers, and stakeholders to translate business requirements Serve as a technical and strategic advisor in cross-functional planning Lead end-to-end delivery of analytics engineering workstreams Anticipate and address systemic data quality or modeling issues Enable sustainable project delivery by optimizing performance