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Senior, niche Snowflake+dbt requirement significantly reduces qualified applicant density.
Highly domain-specific Snowflake/dbt and migration expertise limits cross-industry transferability.
Explicit 10+ years, required Snowflake/dbt experience and migration leadership make filters stringent.
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Lead development teams converting legacy data platforms to Snowflake using dbt with full ownership of code quality and migration execution.
Define and enforce dbt model development standards, perform code reviews, and develop legacy logic conversion strategies.
Implement validation frameworks, manage parallel runs and cutover windows, and optimize performance and cost during migration phases.
Minimum 10 years experience in data engineering with at least 4 years of deep Snowflake and dbt expertise.
Proven track record leading data platform modernization projects involving migration planning, data validation, and cutover execution.
Strong SQL skills mandatory; experience with orchestration tools like Dagster or Airflow and AWS services preferred.
Work Experience Required: 10+ years in data engineering; 4+ years specifically with Snowflake and dbt.
Experienced technical lead with hands-on capability to mentor and manage teams of 5-10 engineers in cloud data platform migrations.
Background in managing AI-enabled and accelerator-driven migration projects, including validation and reconciliation strategies.
Familiarity with MarTech datasets and performance tuning under cost constraints, collaborating closely with architects and QA.