Note: The job is a remote job and is open to candidates in USA. KBR is a leading company providing innovative solutions in engineering, science, technology, and mission support. The Technical Lead, Data Integration, Warehousing & Analytics is responsible for designing and optimizing enterprise data integration pipelines and analytics solutions, ensuring data quality and governance while leading a team of data professionals.
Responsibilities
- 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
- Ensure enterprise data platforms remain scalable, secure, maintainable, and aligned with business requirements
- 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
- 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
Skills
- 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)
- 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
Benefits
- Bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation
- Sign on bonus
- Relocation benefits
- Short term incentives
- Long term incentives
- Discretionary payments for exceptional performance
- 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
Company Overview
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