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Niche dbt/Snowflake modernization and seniority reduce applicant density.
Requires deep data modernization and specific tooling expertise, limiting cross-industry portability.
Explicit 10+ years plus mandatory dbt/Snowflake and modernization lifecycle make shortlisting strict.
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Develop and scale reusable data modernization assets including accelerators, playbooks, runbooks, and estimation tools utilized across multiple delivery teams.
Create and implement delivery playbooks and runbooks, drive their adoption, and measure their reuse across delivery pods.
Train and enable delivery teams in using accelerators and AI-assisted engineering practices within modernization programs.
10+ years of experience in data engineering with at least one complete data modernization lifecycle delivered end to end.
Strong expertise in dbt and Snowflake within data platform modernization projects, including migration planning, data validation, and execution of cutover processes.
Experience in building frameworks and documentation and the ability to train and enable multiple teams.
Work Experience Required: 10+ years
Experienced in full lifecycle data platform modernization, especially transitioning legacy systems to modern cloud platforms with AI acceleration.
Skilled in creating and institutionalizing scalable frameworks and reusable assets to improve delivery efficiency.
Familiarity with MarTech domains or developer tooling/automation is preferred, indicating ability to work with customer data accelerators and supporting technologies.