Lead Data Engineer to shape and lead the data engineering practice.
Hands-on technical leadership; build solutions and shape the practice.
Set vision and standards for data infrastructure, integrations, governance, and orchestration.
Define standards for data pipelines, transformations, and integrations across cloud and CRM platforms.
Lead and mentor a team of engineers; direct people management.
Drive outcomes with your expertise and strategic guidance.

🎯 Requirements

Extensive hands-on data engineering experience building production data pipelines and warehouses.
Proficiency with dbt, Airflow, Terraform and analytics-ready data modeling.
SQL, Python and modern engineering workflows (Git, CI/CD, testing).
Cloud data platforms such as GCP BigQuery and Snowflake.
CRM data platforms including Salesforce Data Cloud and Adobe AEP.
Strong architectural skills and mentoring engineers in data modeling, quality, governance.

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