Senior Data Engineer – Data Platform and Semantic Architecture and Engineering

Senior Data Engineer – Data Platform and Semantic Architecture and Engineering

Hybrid (In office 3 days/week) within Oregon, Washington, Idaho, or Utah

Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.

Every day, Cambia’s Data & Analytics Engineering team is living our mission to make health care easier and lives better.

The Data & Analytics Engineering team is seeking a senior technical leader with deep expertise in dimensional modeling, semantic layer engineering, and analytics enablement, combined with a strong ability to influence architecture, mentor senior engineers, and partner with product, architecture, and business leaders. This leader thrives in ambiguous problem spaces, sets direction where none exists, and makes long‑term platform decisions that balance scalability, governance, and usability.

Experience designing and implementing semantic layers is critical. If you have hands‑on experience with tools such as Snowflake semantic views, AtScale semantics, dbt semantics, Microstrategy Archtect / Semantic Graph, or Business Objects Universes, and thrive on variety and challenge in your work, we encourage you to apply.

If you’re a motivated and experienced Senior Data Engineer with a consultant’s mindset and a passion for building semantic layers and analytics platforms, we want to hear from you.

Experienced technical leader with deep expertise in dimensional modeling, semantic layer design, and analytics enablement, a strong background in building and optimizing data pipelines, excellent SQL skills, and hands‑on expertise with Snowflake, dbt or other ETL tools, and modern ETL/ELT practices. Adept at breaking down work, leading and mentoring Data Engineers, and delivering scalable, high‑quality data solutions in complex enterprise environments.

Experience developing, implementing, refining, and troubleshooting semantic layers. Hands‑on experience with at least one enterprise semantic technology (e.g., Snowflake semantic views, AtScale, dbt semantics, Micro Strategy, Business Objects).

We strongly prefer candidates with a broad range of experience—such as that gained through consulting roles or cross‑functional project work—who can bring fresh perspectives and innovative solutions to our data ecosystem.

• Bachelor’s degree in computer science, Mathematics, Business Administration, Engineering, or a related field
• 8 years relevant experience in a multi-platform environment, including, but not limited to application development or database development
• At least 2 years working with Snowflake or similar cloud data platforms
• Equivalent combination of education and experience

• Senior or principal-level experience in Data Engineering or Data Platform Engineering.
• Deep expertise in dimensional modeling, semantic layer design, and analytics enablement.
• Advanced proficiency with Snowflake, dbt, and SQL, including performance tuning at scale.
• Hands‑on experience with at least one enterprise semantic technology (e.g., Snowflake semantic views, AtScale semantics, dbt semantics, Micro Strategy Architect / Semantic Graph, Business Objects Universes).

• Proven ability to lead through influence across teams and disciplines.
• Strong mentoring and coaching skills, particularly with senior engineers.
• Demonstrated success driving standards, patterns, and long‑term platform strategy.

• Consulting or cross‑industry background bringing diverse perspectives to complex data ecosystems.
• Experience supporting AI‑enabled analytics, agentic workflows, or metadata‑driven systems.
• Python development for data engineering, automation, or platform tooling.
• Experience integrating semantic layers with BI tools such as Tableau, Power BI, or Looker.

• Together with Engineering and Data Modeling leaders, define and evolve enterprise standards for dimensional modeling, semantic layers, and analytics‑ready data…