Data Engineer Sr (DBT)

Roles & Responsibilities

Design and implement staging, core, and mart layers using standard dbt patterns and folder structures.
Develop and maintain dbt tests (schema tests, data tests, custom tests) to ensure data quality and integrity.
Implement snapshots, seeds, macros, and reusable components where appropriate.
Collaborate with Snowflake developers to ensure physical data structures support dbt models efficiently.
Work with functional teams to ensure functional equivalence between legacy Informatica outputs and new dbt outputs.
Participate in performance tuning of dbt models and Snowflake queries.
Integrate dbt with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for automated runs and validations.
Contribute to documentation of dbt models, data lineage, and business rules.
Participate in defect analysis, bug fixes, and enhancements during migration and stabilization phases.

Experience :

10+ years in modern ELT / transformation engineering, with strong expertise in DBT-based development for curated enterprise data layers.
Experience defining DBT project standards, modular model design, testing frameworks, documentation, macros, environment strategy, and deployment controls.
Proven ability to lead development of conformed Silver layer models across Policy, Claims, Billing, and shared dimensions / reference domains.
Strong experience integrating DBT with Databricks / Delta Lake, orchestration tools, version control, and automated quality checks.
Able to guide developer productivity, code review standards, reusability, performance tuning, and traceability from mapping to model implementation.