Senior Data Engineer II (Hybrid)
Core
Design, build, and optimize scalable data pipelines, models, and warehouse architecture to power enterprise reporting, business self-service analytics, and AI-driven work-streams.
Role type
Senior IC data engineer (corporate data platform)
Builds
Cloud-native data warehouse, enterprise reporting, business self-service analytics, AI-ready data infrastructure
Domain
Enterprise data engineering, cloud data platforms, AI/ML data infrastructure
Deliverable
production ML models | product features
Required skills
Snowflake, dbt, Fivetran, SQL, data modeling, testing, observability, performance optimization, data governance, CI/CD workflows
Preferred skills
Elementary, Sigma, cloud infrastructure, AI/ML-adjacent data tooling, AI-powered engineering tools (Cursor, Claude Code)
Technologies
Snowflake, dbt, Fivetran, Elementary, Sigma, CI/CD pipelines
Responsibilities
Design and optimize scalable data pipelines and warehouse architecture; Partner with stakeholders to influence architectural decisions; Build clean, well-modeled datasets for enterprise reporting and analytics; Contribute to data governance frameworks and compliance controls; Implement automated testing and monitoring standards; Mentor junior and mid-level engineers; Establish engineering best practices and documentation; Evaluate and introduce new platform capabilities.
Seniority
Senior, hands-on IC
