DBT Data Engineer (hybrid)

Req ID

379637

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a DBT Data Engineer (hybrid) to join our team in King of Prussia, Pennsylvania (US-PA), United States (US).

We are currently seeking a DBT Data Engineer to join our team in King of Prussia, PA (hybrid).

Role Overview

The DBT SME serves as the senior engg for data transformation within a modern data stack built on dbt, Snowflake. This role is responsible for implementing dbt transformation models, enforcing modeling best practices, and ensuring that dbt, and traditional data modeling disciplines work together cohesively in a production environment. The ideal candidate brings hands-on dbt expertise, deep Snowflake knowledge, strong Python skills, and the ability to translate conventional data warehouse patterns into maintainable, scalable dbt solutions.

Responsibilities

• Design and develop dbt transformation models targeting Snowflake, applying model layering (staging, intermediate, mart), incremental strategies, snapshot patterns, and dbt macros.
• Apply Snowflake-specific optimizations within dbt models, including clustering keys, transient tables, and appropriate warehouse sizing to control cost and performance.
• Translate traditional data warehouse designs — including dimensional models, ERDs, and legacy SQL transformation logic — into dbt-native patterns.
• Develop and maintain dbt tests (generic and singular), custom Python-based data quality checks, and documentation to ensure transformation correctness and pipeline observability.
• Perform peer code reviews, provide technical mentorship to engineers, and drive adoption of dbt best practices and modeling standards across the team.
• Troubleshoot data discrepancies, pipeline failures, and Snowflake query performance i...