Chief Data Engineer Washington, DC,

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* The Opportunity:

** CACI is seeking an accomplished Chief Data Engineer to support the Department of Homeland Security (DHS) Office of the Inspector General (OIG).

This role offers a unique opportunity to lead the technical implementation of an enterprise data platform that centralizes critical investigative, audit, and oversight data to strengthen national security operations.
As the Chief Data Engineer, you will architect and lead the development of cloud-based data pipelines that ingest, transform, and integrate data from diverse sources including investigative systems, hotline complaints, DHS component datasets, and external federal data. You will oversee the migration from legacy ETL platforms to modern cloud-native solutions, establish data integration patterns with DHS data fabric and Delta Sharing, and ensure data quality, governance, and security across all pipelines.

Leading a team of data engineers, you will coordinate data onboarding priorities, provide technical leadership for complex analytical needs, and enable AI and advanced analytics through authoritative, governed datasets. Working within secure Azure Government environments, you will build the data foundation for a transformational program of national importance. Join us to make a meaningful impact by engineering the data infrastructure that powers next-generation federal oversight capabilities.

** Responsibilities:
** Lead the design, development, testing, and implementation of enterprise data ingestion and transformation pipelines that consolidate investigative records, hotline data, DHS datasets, and federal/commercial data sources into a centralized, governed data platform     Oversee migration from legacy Informatica Power Center, Informatica Data Quality, and on-premises Python scripts to modern cloud-based data integration solutions using Azure Data Factory, Databricks, or equivalent technologies     Architect and implement scalable data integration patterns supporting batch processing, incremental updates, streaming ingestion, and metadata-driven pipelines with comprehensive error handling and monitoring     Lead ongoing operation, automation, monitoring, and reporting of production data pipelines, including performance optimization, failure remediation, data quality validation, and SLA compliance     Design and implement integration with DHS data fabric, Delta Sharing, APIs, secure file transfer mechanisms, and data-sharing protocols while preserving DHS OIG independence and preventing unauthorized reciprocal access     Coordinate phased data onboarding approach based on Government priorities, including technical discovery, source system analysis, data profiling, pipeline design, testing, and production deployment     Provide technical leadership for data architecture and cloud analytics engineering, including lakehouse design, data modeling (relational, graph, geospatial), and optimization for analytical and AI workloads     Lead and coordinate data engineering resources, including surge support for complex analytical needs, forensic data reconstruction, and specialized technical problem sets     Develop and maintain comprehensive technical documentation including data lineage, pipeline architecture, integration specifications, operational runbooks, and data engineering best practices     Collaborate with Government stakeholders, platform architects, AI engineers, and governance specialists to ensure data pipelines support mission analytics, comply with data governance policies, and enable AI model consumption of authoritative datasets     
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* Qualifications:

** Required –      Bachelor's degree + 15 years of experience in data engineering, data architecture, software engineering, or related field;…