The Senior Data Analytics Engineer will lead the design, development, and evolution of our enterprise analytics platform. This role blends hands on technical ownership with team leadership, offering the opportunity to shape both our data architecture and our analytics engineering practice.
You will own critical components of our Data Vault 2.0 warehouse on Snowflake, mentor a growing team of Analytics Engineers, and serve as the connective layer between raw operational data and business critical insights.
Our data environment goes well beyond a typical dbt project. We operate a mature, multi tenant analytics warehouse integrating 13+ source systems (including Five9, inContact, Serenova, Salesforce, Shiftboard, and NetSuite) across 15+ client engagements. You’ll work across the full analytics stack—from staging and raw vault to business vault, prime stage, and client specific information marts—delivering clean, tested, and well documented models that support finance, operations, and compliance reporting
