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Data Tech Lead

BrooksourceUnited States🇺🇸United StatesPosted 6 Sept 2026

Why This Role Stands Out

This remote Data Tech Lead role offers a fantastic opportunity to build and lead an AI-ready enterprise data platform using cutting-edge Google Cloud technologies, with a competitive hourly rate of $80-$90. You'll thrive here if you enjoy a blend of hands-on development and technical leadership, mentoring others, and contributing to a high-impact platform initiative. Apply now to shape the future of data readiness for AI!

Quick Overview

Salary
$80 - $90/hr
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
3 days ago
SQLBigQueryGoogle CloudTerraform

Job Description

Enterprise Data Platform Technical Lead / Senior Developer
Remote Role
100% Remote, W2 Contract
Compensation: $80-$90/hr. | $160,000-$180,000 per year
ABOUT THE ROLE

As a Brooksource consultant, you will serve as the Enterprise Data Platform Technical Lead / Senior Developer, working directly with our client as a W2 employee on a full-time, 40-hour work week. This 100% remote contract role offers comprehensive benefits (health, vision, dental), paid holidays, and sick time accrual. Upon potential FTE conversion, the client's benefits package will apply.

You will play a pivotal role in building and supporting an AI-ready Enterprise Data Platform (EDP) in BigQuery, leveraging medallion architecture within a modern Google Cloud Platform (Google Cloud Platform) environment. The team is focused on ingesting data from a wide range of source systems and building scalable, governed pipelines to enhance data readiness for AI use cases. This position requires a balance of hands-on development and technical leadership, with responsibilities split approximately 50/50 between coding and overseeing developers. You will partner closely with engineering teams on data modeling, solution design, and delivery execution, contributing to a large-scale platform initiative in a fast-paced, technically rigorous environment.
WHAT YOU'LL DO

  • Build and support enterprise-scale data pipelines in Google Cloud Platform (Google Cloud Platform)
  • Ingest data from on-premises and cloud-based source systems into BigQuery using medallion architecture
  • Develop and maintain solutions utilizing Dataflow, Dataform, Terraform, and SQL
  • Support CI/CD pipeline automation and governed data delivery processes
  • Contribute to platform initiatives to enhance data readiness for AI use cases
  • Provide technical oversight and mentorship to development team members
  • Remain hands-on in development while leading technical direction (approx. 50/50 split)
  • Collaborate with engineering teams on data modeling, solution design, and delivery execution
  • Troubleshoot and unblock developers to ensure timely and accurate solution delivery
  • Ensure solutions are implemented according to architectural plans and best practices
WHAT YOU BRING

  • Strong hands-on experience with Google Cloud Platform (Google Cloud Platform), including BigQuery
  • Proficiency in Dataflow, Dataform, Terraform, and SQL
  • Demonstrated expertise in data modeling and building enterprise-scale data pipelines
  • Direct experience developing and supporting data ingestion from both on-premises and cloud sources
  • Ability to provide technical oversight while remaining hands-on (50% development / 50% leadership)
  • Experience supporting CI/CD pipeline automation and governed data delivery
  • Proven ability to partner with engineering teams on solution design and delivery execution
  • Track record of building solutions directly in the stack, not just at the architectural level
  • Ability to discuss implementation details and past delivery experience concretely
  • Demonstrated success in fast-paced, technically rigorous environments
  • Excellent communication skills, with the ability to mentor and unblock developers
WHAT'S IN IT FOR YOU

  • 100% remote work model
  • Comprehensive benefits package (health, vision, dental) as a W2 employee
  • Paid holidays and sick time accrual
  • Opportunity to work on a cutting-edge, AI-ready data platform initiative
  • Potential for FTE conversion with additional client benefits
  • Collaborative, fast-paced, and technically challenging environment

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