Leidos · 2 days ago

Data Warehouse Lead

Washington, DC

Full-time

Hybrid

Senior Level

$122K/yr - $221K/yr

10+ years exp

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Responsibilities

Lead and mentor a team of developers, data scientists and task leaders to design and implement a new data warehouse, ensuring it effectively aggregates data from diverse sources within the customer’s operational ecosystem.

Develop scalable extract, transform and load (ETL) solutions to integrate, clean, and structure data for optimal analysis and reporting.

Utilize cutting-edge technologies and frameworks to enable the processing of large datasets and support advanced analytical capabilities.

Work closely with stakeholders to understand analytical needs and integrate business intelligence tools and analytics models into the data warehouse architecture.

Collaborate with government leads and stakeholders, as well as other contract technical leads, to define project requirements, goals, and timelines.

Ensure the data warehouse architecture supports future scalability and adaptability to meet evolving data analysis and intelligence requirements.

Ensure the developed capabilities are compatible with the network operating environment and architecture and implement customer-directed security measures.

Foster a culture of innovation by staying updated on emerging trends in data engineering, analytics, and business intelligence, applying best practices to enhance the data warehouse and analytics platform.

Monitor project progress, address any technical challenges, adjust priorities as needed to meet milestones, and provide regular updates to government and contract program managers.

Qualification

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JavaSQLOracleData ModelingETLDatabase DesignPerformance ImprovementRisk MitigationATO Process ManagementSolution DevelopmentConfiguration ImplementationTeam Management

Required

Must have an active Top Secret security clearance with the ability to obtain and maintain a TS/SCI with Polygraph.

BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 10 plus years in software development, technology management, system engineering or related field. Eight plus years of experience with master’s degree.

Expertise in Java, SQL, Oracle, data modeling, and ETL (Extract, Transform, Load) processes, ensuring efficient data storage, retrieval, and indexing capabilities.

Experience overseeing database design and presenting overview briefings and updates to government leads, partners, and customers; reporting on progress at performance improvement meetings; and identifying opportunities for increase effectiveness, efficiency, scale, and impact.

Experience in the identification and mitigation of any issues or trends that pose a risk to project priorities.