Data Engineering Lead - GCP Big Query

• Lead the design and delivery of enterprise-scale data platforms on GCP, with BigQuery as the core analytics engine.
• Own data warehouse architecture, data modeling, and performance optimization in BigQuery.
• Design and implement ETL/ELT pipelines using GCP services like Dataflow, Dataproc, and Cloud Composer.
• Provide technical leadership for Teradata environments and drive migration or coexistence strategies with GCP.
• Ensure data quality, reliability, security, and governance across all data pipelines.
• Optimize systems for scalability, cost efficiency, and operational excellence.
• Build and enforce engineering best practices including CI/CD, testing, and monitoring.
• Lead, mentor, and review the work of data engineers and senior engineers.
• Collaborate with analytics, data science, and business stakeholders to translate requirements into solutions. Able to work in Python.
• Act as a trusted technical advisor for modern data architecture and platform strategy.

Do you have experience in Teradata?

Pulled from the full job description

• Health insurance
• Retirement plan
• Vision insurance
• Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $44.85/hour - $70.07/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.