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Senior 10+ years and niche GCP/dbt expertise reduce applicant competition.
Core data engineering skills are transferable, but GCP/dbt specifics and cloud governance increase domain bias.
Explicit 10+ years, mandatory GCP/dbt/BigQuery skills and management experience impose strict filters.
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Lead and manage a team of 6 to 12 data engineers, including mentorship, Agile delivery, and stakeholder coordination.
Design, build, and optimize scalable ELT/ETL pipelines using dbt, Python, BigQuery within a Medallion Architecture on GCP.
Oversee migration of legacy Pentaho pipelines to GCP and manage data governance, security, and operational performance across GCP services.
10+ years of professional experience in data engineering or related roles.
At least 3 years of direct people management or technical lead experience.
Mandatory technical expertise with Google Cloud Platform services (BigQuery, Cloud Spanner, Cloud SQL, Cloud Storage) and tools like dbt, Airflow/Cloud Composer, Python, complex SQL, and CI/CD automation.
Work Experience Required: 10+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in architecting and operating large-scale data pipelines using Medallion Architecture and dimensional modeling on GCP.
Comfortable managing Agile teams and translating business needs into technical roadmaps and deliverables in enterprise settings.
Familiar with cloud migration of legacy ETL systems and managing stakeholder expectations for long-term data initiatives.