Technical Lead, Data Integration, Warehousing & Analytics

KBR Careers; Houston (TX); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Bonus eligibility

Job summary

KBR Careers seeks a Technical Lead for Data Integration, Warehousing & Analytics to design, implement, and optimize enterprise data pipelines, warehousing, and analytics solutions that deliver trusted insights across the organization.

You will bridge operational data sources with business intelligence, drive architecture reviews, and mentor engineers to ensure scalable, governed data platforms and robust analytics capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
• 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.

Responsibilities

• Lead the design and implementation of scalable end-to-end data integration pipelines using modern ETL/ELT frameworks.
• Architect ingestion of data from enterprise applications, databases, APIs, and third-party systems into centralized platforms.
• Ensure data integration solutions are reliable, scalable, and well-governed with monitoring and automation.
• Establish standards for integrations, APIs, data contracts, pipeline orchestration, and development methodologies.
• Drive continuous improvement to enhance data availability, integration efficiency, and operational reliability.
• Architect and support enterprise data warehouse and data lake environments.
• Collaborate with data owners and stakeholders on data governance, MDM, and data quality initiatives.
• Translate business requirements into scalable analytics solutions and BI roadmaps; enable governed self-service analytics.
• Provide technical mentorship, code reviews, and architectural guidance to data engineers and BI analysts.

Skills

Technical problem-solving

Stakeholder management

Mentorship

Architecture reviews

Education

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Tools

Azure

AWS

GCP

Power BI

Job description

Technical Lead, Data Integration, Warehousing & Analytics

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.

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

• 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.

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 a sign‑on bonus, relocation benefits, short‑term incentives, long‑term incentives, or discretionary payments for exceptional performance.

Benefits

KBR offers a selection of competitive lifestyle benefits which could include a 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

Job ID: R2126351

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.