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 requirements into scalable analytics solutions, data models, and actionable insights.

Define and maintain technical standards and roadmap initiatives for business intelligence and analytics platforms, including Power BI and related technologies. Enable governed self-service analytics through the development of dashboards, reports, semantic models, and reporting frameworks.

Partner with stakeholders to define key performance indicators (KPIs), measurement frameworks, and reporting strategies. Promote data literacy and encourage data-driven decision-making across the organization. Technical Leadership & Mentorship Provide technical mentorship, code reviews, and architectural guidance to data engineers, ETL developers, and BI analysts.

Lead technical design sessions, proof-of-concept initiatives, architecture reviews, and platform evaluations. Partner with business stakeholders and IT leadership to translate strategic objectives into scalable data solutions and technology roadmaps.

Establish development standards, best practices, and governance processes that improve solution quality and consistency. Serve as a subject matter expert for enterprise data integration, warehousing, and analytics technologies. Basic Qualifications Education & Experience: Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field required; Master's degree preferred. 6+ years of progressive experience in data engineering, data integration, data warehousing, ETL/ELT development, and business intelligence.

Experience serving as a technical lead, senior engineer, or senior individual contributor on complex data and analytics initiatives. Experience designing and supporting enterprise-scale data platforms and reporting solutions. Data Engineering & Analytics Expertise: Strong hands-on expertise with Oracle databases, advanced SQL, and enterprise data modeling techniques.

Experience designing, developing, and supporting ETL/ELT solutions using Informatica or modern data integration platforms such as dbt, Azure Data Factory, or similar technologies. Strong understanding of dimensional and normalized data modeling methodologies.

Experience supporting enterprise data warehouse and data lake architectures. Experience with Power BI or comparable analytics and business intelligence platforms. Experience with workload automation and job scheduling technologies such as UC4/Automic, Control-M, Autosys, or similar platforms.

Understanding of data quality, master data management (MDM), metadata management, and data governance best practices. Technical Leadership & Core Competencies: Strong technical problem-solving and analytical skills. Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Strong stakeholder management and collaboration skills. Experience leading technical design discussions, architecture reviews, and solution planning activities. Demonstrated ability to mentor team members and promote technical excellence without direct people-management responsibility.

Preferred Qualifications Experience with cloud-based data platforms and services, including Microsoft Azure, AWS, or Google Cloud Platform (GCP). Experience with modern data lakehouse architectures and cloud-native analytics solutions. Familiarity with data catalog, lineage, and governance tools.

Experience implementing self-service analytics and enterprise reporting strategies. Experience supporting large-scale data modernization or cloud migration initiatives. Knowledge of AI, machine learning, or advanced analytics platforms and their integration into enterprise data ecosystems.

Relevant certifications in cloud platforms, data engineering, business intelligence, or analytics technologies. Additional Compensation: KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation.

Additional compensation may be in the form of sign on bonus, relocation benefits, short term incentives, long term incentives, or discretionary payments for exceptional performance