Staff Data Engineer
Core
Define architecture and technical direction for the enterprise Data & Analytics platform to support cyber security, insurance exposure analytics, BI, actuarial workflows, and AI/ML products.
Role type
Staff Data Engineer (Enterprise Architecture & Platform)
Builds
Trusted, scalable data infrastructure, reusable data products, feature stores, and semantic models for regulated insurance and security domains.
Domain
Insurance & Cybersecurity
Deliverable
production ML models
Required skills
Snowflake, dbt, Python, analytical SQL, data modeling (Dimensional/Data Vault), batch/streaming pipelines, orchestration (Airflow/Dagster/Prefect), observability, data contracts, feature engineering, AI data systems (embeddings/vector search/RAG), Looker/LookML.
Preferred skills
Insurance domain modeling (underwriting/claims/reinsurance), Snowflake Cortex, Feast, DataHub, Terraform, CI/CD, AI-assisted development tools.
Responsibilities
Set architecture and engineering standards for the Data platform; Design governed Medallion pipelines and domain-oriented data models; Build reusable data products, contracts, feature stores, and semantic models; Establish observability, quality, lineage, security, and incident-management practices; Develop platform foundations for feature engineering and AI applications; Partner with cross-functional teams to align architecture with business outcomes.
Seniority
Staff, hands-on IC with strategic influence