Technical Lead, Data Integration, Warehousing & Analytics

KBR, Inc.

Technical Lead at KBR overseeing data integration pipelines and analytics solutions. Leading technical design and implementation for enterprise data management in innovative environments.

Posted 7/10/2026full-timeChantilly • Virginia • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing enterprise data integration pipelines, data warehousing, and analytics solutions, with a strong focus on ETL/ELT frameworks and data governance. Proficient in collaborating with stakeholders to translate business requirements into scalable data models and actionable insights.

Highest-signal resume keywords

Data Integration Pipeline DesignETL/ELT DevelopmentOracle Database ExpertisePower BI AnalyticsCloud-Based Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData WarehousingAdvanced SQLData ModelingInformaticaAzure Data FactoryDimensional Data ModelingWorkload AutomationData Quality ManagementCloud Migration

Soft Skills

Technical Problem-SolvingStakeholder ManagementCollaborationMentoringEffective Communication

Tools & Technologies

Power BIUC4/AutomicControl-MAutosysMicrosoft AzureAWSGoogle Cloud PlatformData Catalog ToolsData Governance ToolsData Lakehouse Architectures

Certifications & Qualifications

Cloud Platform CertificationsData Engineering CertificationsBusiness Intelligence CertificationsAnalytics Technologies Certifications

Industry Keywords

Data IntegrationData GovernanceMaster Data ManagementMetadata ManagementAnalytics Solutions

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformInformaticaOracleSQL

About the role

Key responsibilities & impact

Serve 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
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
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
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
Lead technical design sessions, proof-of-concept initiatives, architecture reviews, and platform evaluations
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

Requirements

What you’ll need

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
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
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
Experience with cloud-based data platforms and services, including Microsoft Azure, AWS, or Google Cloud Platform (GCP) preferred
Experience with modern data lakehouse architectures and cloud-native analytics solutions preferred
Familiarity with data catalog, lineage, and governance tools preferred
Experience implementing self-service analytics and enterprise reporting strategies preferred
Experience supporting large-scale data modernization or cloud migration initiatives preferred
Knowledge of AI, machine learning, or advanced analytics platforms and their integration into enterprise data ecosystems preferred
Relevant certifications in cloud platforms, data engineering, business intelligence, or analytics technologies preferred

Benefits

Comp & perks

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
flexible work schedule
professional training and development