Senior Analytics Engineer
Core
Building trusted, reusable datasets and defining key metrics to power reporting, ad-hoc analysis, data science, and AI analytics workloads for the business.
Role type
Senior Analytics Engineer
Builds
Central data platform datasets, semantic layers, and metric governance for enterprise password management and cybersecurity products.
Domain
Cybersecurity / SaaS / Data Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, dbt (advanced modeling, incremental processing, multi-environment deployment), cloud data warehouses (Athena, Snowflake, BigQuery, Databricks, Redshift), dimensional modeling, metric design, CI/CD for data pipelines, orchestration tools (Airflow, Dagster, Prefect)
Preferred skills
B2B SaaS metrics modeling, event-stream/behavioral data modeling, Lakehouse table formats (Iceberg, Parquet), Reverse ETL, data mesh concepts
Responsibilities
Own scalable dbt models as the authoritative source of truth for business metrics, design clear data models and grains, contribute to semantic layer and metric governance, drive team standards for modeling and CI/CD, implement data quality and observability strategies, collaborate on model performance optimization, evaluate new tooling, translate business requirements into technical solutions, mentor junior engineers
Seniority
Senior, hands-on IC