Senior Data Engineer

Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You’ve owned systems under pressure and know how to build for long-term reliability.

Snowflake Depth: Expert-level Snowflake experience—performance optimization, dynamic tables, data security, and Cortex familiarity. You know when and why to use each capability.

Semantic Modeling Ownership: Proven ability to design and maintain semantic or metrics layers that enforce consistent business logic across a complex, multi-team organization.

High-Impact Execution: You operate at the level of organizational strategy—your work influences competitive positioning, not just sprint delivery. You define standards, evaluate trade-offs, and build for the long term.

Data Quality Obsession: Reliability is non-negotiable. You instrument pipelines with observability, validation, and alerting from day one, and you define the standards others follow.

Leadership & Ownership: You own work from scoping through production and beyond. You influence company-wide technology decisions and mentor others along the way—without waiting to be told what to do.

AI Infrastructure Fluency: Familiar with AI/ML data patterns—RAG architectures, vector stores, embedding pipelines—and able to build the data infrastructure those systems require.

Executive Communication: You build partnerships with executives and cross-functional stakeholders, translating complex technical trade-offs into clear recommendations that earn trust and drive adoption.