Technical Lead, Data Integration, Warehousing & Analytics

Title:

Technical Lead, Data Integration, Warehousing & Analytics

We are KBR

When you become part of our KBR team, your opportunities are endless. Through internal collaboration, and with our partners and customers, we’re defining tomorrow’s challenges, then providing the innovative solutions to overcome those challenges, always maintaining our commitment to Zero Harm and our Sustainability Platform.

In September 2025, we announced that we are spinning our Mission Technology Solutions business into a separate public company. This role would ultimately be part of that new company. Our Mission Technology Solutions business partners with governments and defense, intelligence, space, aviation, and critical infrastructure customers to deliver high-end engineering, science, technology, and mission support solutions. From national security and readiness to advanced research, cyber, logistics, and life-cycle sustainment, our teams help customers solve complex challenges in some of the world’s most demanding environments. Whether supporting operations on the ground, at sea, in the air, or in space, our clients trust us to deliver mission-critical capabilities every day.

Working with us means being rewarded for your contributions. In addition to competitive benefits and professional development, our people are empowered to use all their potential, creating meaningful change for themselves and our clients. We attract the best minds in the world because our expertise thrives on creativity, resourcefulness and collaboration. That is how we supply our clients with cutting-edge solutions.

As the needs of the world change, we’re ready to respond and guide the way forward with strategic, sustainable, and technological advancements grounded in more than a century of practical application and execution.

We are IT

We are strategic enablers of the business, delivering scalable, secure, and innovative technology solutions that drive operational excellence and support enterprise growth. We partner closely with functions across the organization to modernize systems, unlock data-driven insights, and enhance the digital employee experience. Our global footprint and commitment to transformation position us at the forefront of leveraging technology to create lasting business value.

About the Role

The Technical Lead, Data Integration, Warehousing & Analytics serves as the primary technical expert and hands-on leader responsible for the design, development, and optimization of enterprise data integration pipelines, data warehouse platforms, and analytics solutions. This role bridges operational data sources and business intelligence capabilities by architecting scalable data solutions that enable trusted, actionable insights across the organization.

The ideal candidate combines deep expertise in data engineering, data warehousing, ETL/ELT development, and analytics platforms with strong technical leadership and mentoring capabilities. This individual partners closely with business stakeholders, data consumers, and IT leadership to deliver modern data solutions while promoting data quality, governance, scalability, and self-service analytics capabilities.

Key Responsibilities

Data Integration & Architecture

• Lead the technical design and implementation of scalable, end-to-end data integration pipelines utilizing modern ETL/ELT frameworks and best practices.
• Architect and oversee the ingestion of data from enterprise applications, databases, APIs, and third-party systems into centralized data platforms.
• Ensure data integration solutions are reliable, performant, scalable, and well-governed through robust error handling, monitoring, and automation.
• Establish and enforce technical standards for integrations, APIs, data contracts, pipeline orchestration, and development methodologies.
• Drive continuous improvement initiatives that enhance data availability, integration efficiency, and operational reliability.

Data Warehousing & Data Lake

• Architect, implement, and support enterprise data warehouse and data lake environments.
• Design and maintain logical and physical data models, storage strategies, partitioning structures, and performance optimization frameworks.
• Champion best practices for data modeling, metadata management, database administration, and data lifecycle management.
• Collaborate with data owners and business stakeholders to support data governance, master data management (MDM), and data quality initiatives.
• Ensure enterprise data platforms remain scalable, secure, maintainable, and aligned with business requirements.

Data Analytics & Business Intelligence

• Translate complex business re