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Metro location and broad GCP/dbt skillset create moderate competition.
Data engineering and GCP skills are transferable, but tool and managerial specifics moderately limit cross-industry fit.
Many mandatory technical requirements plus explicit 10+ years and people-management make shortlisting highly strict.
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Lead and develop a team of 6-12 data engineers focusing on designing and optimizing scalable ELT/ETL pipelines using dbt, GCS, Python, and BigQuery within GCP ecosystem.
Oversee implementation and enforcement of Medallion Architecture (Bronze, Silver, Gold layers) for high-throughput data warehousing and migration of legacy pipelines from Pentaho to GCP.
Manage Agile delivery processes and act as technical liaison for translating business/product needs into technical roadmaps and detailed user stories.
Minimum 10+ years of professional experience, including at least 3 years in direct people management or technical lead roles.
Proficiency in Google Cloud Platform services: BigQuery, Cloud Spanner, Cloud SQL, Cloud Storage, GKE, Cloud Run, Cloud Functions, Pub/Sub, IAM, and Secret Manager.
Technical expertise with dbt, Python, complex SQL optimization, Airflow/Cloud Composer, and familiarity with legacy ETL tools like Pentaho.
Experience managing Agile teams, including sprint planning, backlog refinement, and stakeholder management.
Senior data engineering leader with deep hands-on experience in GCP and Medallion Architecture implementations.
Experienced in managing medium-sized technical teams using Agile methodologies and delivering complex enterprise data projects.
Strong background in cloud-native data pipeline migrations and engineering excellence including DevOps CI/CD automation in cloud environments.