GCP Data Migration Team Lead (contract) jobs in United States
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Capgemini · 2 months ago

GCP Data Migration Team Lead (contract)

Capgemini's Americas Insights & Data practice is seeking a Google Cloud Architect to design, build, and maintain scalable data processing systems on the Google Cloud platform. The role involves leading a data migration team, ensuring data quality, optimizing performance, and collaborating with various stakeholders to deliver effective data solutions.

ConsultingInformation TechnologyInsurTechIT ManagementSoftware
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H1B Sponsor Likelynote

Responsibilities

Serve as Data Migration team leader for a large data and application migration to the Google Cloud platform
As Data Migration team leader, this individual will be responsible for our team’s end-to-end data architecture and migration planning to support the migration effort as well as future-state client efforts on the Google Cloud platform
As Data Migration team leader, this individual will collaborate closely with the overall Google Cloud migration team leadership, working to deliver a successful application and data migration
Design and build data pipelines: Develop and maintain reliable and scalable batch and real-time data pipelines using GCP tools such as Cloud Dataflow (based on Apache Beam), Cloud Pub/Sub, and Cloud Composer (for Apache Airflow)
Create and manage data storage solutions: Implement data warehousing and data lake solutions using GCP products like BigQuery, Cloud Storage, and other transactional or NoSQL databases such as CloudSQL or Bigtable
Ensure data quality and integrity: Develop and enforce procedures for data governance, quality control, and validation throughout the data pipeline to ensure data is accurate and reliable
Optimize performance and cost: Monitor data infrastructure and pipelines to identify and resolve performance bottlenecks, ensuring that all data solutions are cost-effective and scalable
Collaborate with other teams: Work closely with data scientists, analysts, and business stakeholders to gather requirements and understand data needs, translating them into technical specifications
Automate and orchestrate workflows: Automate data processes and manage complex workflows using tools like Cloud Composer
Implement security: Design and enforce data security and access controls using GCP Identity and Access Management (IAM) and other best practices
Maintain documentation: Create and maintain clear documentation for data pipelines, architecture, and operational procedures

Qualification

Google Cloud PlatformData migration methodsSQL expertiseETL/ELT processesData modelingInfrastructure as CodeCI/CD pipelinesPythonJavaScalaCloud DataflowBigQueryCloud StorageCloud ComposerCloud Pub/SubDataProc

Required

8+ years of data engineering experience developing large data pipelines in very complex environments
Very Strong SQL skills and ability to build very complex transformation data pipelines using custom ETL framework in Google BigQuery environment
Very strong understanding of data migration methods and tooling, with hands-on experience in at least three (3) data migrations to Google Cloud
Google Cloud Platform: Hands-on experience with key GCP data services is essential, including: BigQuery: For data warehousing and analytics, Cloud Dataflow: For building and managing data pipelines, Cloud Storage: For storing large volumes of data, Cloud Composer: For orchestrating workflows, Cloud Pub/Sub: For real-time messaging and event ingestion, DataProc: For running Apache Spark and other open-source frameworks
Programming languages: Strong proficiency in programming languages, most commonly Python, is mandatory. Experience with Java or Scala is also preferred
SQL expertise: Advanced SQL skills for data analysis, transformation, and optimization within BigQuery and other databases
ETL/ELT: Deep knowledge of Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes
Infrastructure as Code (IaC): Experience with tools like Terraform for deploying and managing cloud infrastructure
CI/CD: Familiarity with continuous integration and continuous deployment (CI/CD) pipelines using tools such as GitHub Actions or Jenkins
Data modeling: Understanding of data modeling, data warehousing, and data lake concepts

Benefits

Medical
Dental
Vision
Retirement benefits

Company

Capgemini

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Capgemini is a software company that provides consulting, technology, and digital transformation services.

H1B Sponsorship

Capgemini has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2856)
2024 (3012)
2023 (3424)
2022 (4392)
2021 (3311)
2020 (5871)

Funding

Current Stage
Public Company
Total Funding
$4.72B
2025-09-18Post Ipo Debt· $4.72B
1999-04-01IPO

Leadership Team

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Aiman Ezzat
CEO, Capgemini Group
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Anirban Bose
CEO of Americas Strategic Business Unit
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