> Markdown version of [/jobs/ext/2526942-sr-gcp-data-engineer-lead-ic](https://www.wearedevelopers.com/jobs/ext/2526942-sr-gcp-data-engineer-lead-ic). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. GCP Data Engineer - Lead / IC - **Company:** Recutify Inc. - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Salary:** $105,100.0 - $189,600.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Business Analytics Applications, Data Analysis, Big Data, BigQuery, Software Bug Management, Cloud Storage, Code Review, Data Validation, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Warehousing, Software Debugging, DevOps, Data Flow Control, Apache Hadoop, Identity and Access Management, Python (Programming Language), Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Query Optimization, Cloud Services, Cloudera, Software Deployment, SQL Databases, Teradata SQL, Test Case, Strategies of Testing, Enterprise Data Management, Data Logging, Google Cloud, Cloud Platform System, Sql Optimization, Google Bigquery, Data Pipelines, Legacy Systems - **Published:** August 15, 2026 - **Apply:** https://www.careerjet.com/jobad/us3f964effd393a04b8ba0d8b84942488c ## About the Role * 10+ years of experience in Data Engineering, Analytics, and Cloud Data Platforms. * Strong hands-on experience with Google BigQuery. * Strong hands-on experience with Cloud Composer / Apache Airflow using Python. * Advanced SQL development, debugging, and performance tuning expertise. * Experience in large-scale Data Migration and Data Modernization programs. * Strong understanding of data modeling, ETL/ELT frameworks, and data warehousing concepts. * Experience working with structured and semi-structured datasets. * Knowledge of GCP services such as Cloud Storage, Dataflow, Dataproc, IAM, Monitoring, and Logging. * Experience with CI/CD pipelines and DevOps practices in cloud environments. * Understanding of Agile delivery methodologies. Preferred Qualification. * Experience in Banking, Financial Services, or Wealth Management domains. * Exposure to Data Quality, Data Governance, and Metadata Management frameworks. * Knowledge of QA processes, test case creation, defect management, and data validation techniques. * GCP Professional Data Engineer Certification preferred. * Experience with migration from Teradata, Hadoop, Oracle, SQL Server, or other legacy platforms to GCP. Soft Skills & Delivery Expectations * Excellent stakeholder management and client-facing communication skills. * Ability to lead distributed onshore-offshore teams. * Strong analytical and problem-solving capabilities. * High accountability for delivery outcomes. * Experience managing multiple workstreams within a fast-paced delivery environment. ## Description This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google Cloud Platform (GCP). The role requires strong hands-on expertise in BigQuery, Airflow/Cloud Composer, Python development, SQL optimization, and enterprise data migration programs. The candidate will act as the technical anchor for the engagement, partnering closely with business stakeholders, architects, QA teams, and offshore delivery teams to ensure successful execution of data engineering and analytics solutions. Key Responsibilities * Lead end-to-end design and delivery of GCP-based data engineering and migration solutions. * Design, develop, and optimize scalable data pipelines using Cloud Composer (Airflow) and Python. * Build and manage enterprise data warehouses and analytics solutions using BigQuery. * Perform complex SQL troubleshooting, query optimization, and data validation across large datasets. * Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and regulatory compliance. * Conduct data analysis to identify quality issues, transformation requirements, and optimization opportunities. * Collaborate with business users, data architects, and cross-functional teams to translate requirements into scalable solutions. * Review code, enforce engineering best practices, and provide technical leadership to development teams. * Coordinate with QA teams to define test strategies, perform data reconciliation, and support defect resolution. * Support production deployments, troubleshooting, performance tuning, and operational excellence initiatives., Role: Sr. GCP Data Engineer Location: New Jersey/ New York Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading … + 14 hours ago ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Got AI ideas but no money? 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