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# Data Engineering Lead - GCP Big Query

- **Company:** Capgemini
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $93,288.0 - $145,746.0
- **Contract:** Temporary contract
- **Skills:** Airflow, BigQuery, Program Optimization, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Data Flow Control, Python (Programming Language), Performance Tuning, Cloudera, Teradata SQL, Data Pipelines
- **Published:** May 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a9d1c48e8ece2a46

## About the Role

Do you have experience in Teradata?

## Description

* 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.


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