Data Architect

The Opportunity

CACI is seeking a Data Architect to join our team and support the Border Enforcement Applications for Government Leading-Edge Information Technology (IT) (BEAGLE) contract. You will have the opportunity to apply your knowledge, skills and experience to building a truly modern application that is new development and cloud native. You will work in a Sec Dev Ops  environment that includes continuous integration/continuous deployment and test automation in a consistent agile software development framework.

If you thrive in a culture of innovation and bring creative ideas to solve complex technical and procedural problems at the team and portfolio levels, then this opportunity is for you!

Join this passionate team of industry-leading individuals supporting best practices in agile software development for the Department of Homeland Security (DHS). You will support the men and women charged with safeguarding the American people and enhancing the nation’s safety and security.

CBP agents and officers are on the front lines, every day, protecting our national security by combining customs, immigration, border security, and agricultural protection into one coordinated and supportive activity. ASF programs thrive in a culture of innovation and are constantly seeking individuals who can bring creative ideas to solve complex problems, both technical and procedural at the team and portfolio levels.

• Provide high-level architectural guidance, technical innovation, and analytical expertise to teams across CBP.
• Champion all aspects of data architecture, analytic methodology, and visualization functions including engineering standards, governance processes, and providing vision and context to explore and effectively utilize emerging technologies.
• Lead database developers and administrators working across multiple product teams.
• Serve as a data and technology expert across a broad and diverse set of mission critical applications.
• Actively participate in Agile Scrum sprint planning, artifact creation, sprint testing, regression testing, demonstrations, retrospectives and solution releases.
• Analyze project-related problems and create innovative solutions involving technology, analytic methodologies, and advanced solution components.
• Deliver deployable software in short sprints.
• The ability to be adaptable and work constructively with a technically diverse and geographically separated team is crucial.

• 10+ years of professional working on complex data challenges in the areas of data architecture and engineering, data science, and data analysis and visualization to design, implement, and maintain data-intensive applications.
• 10+ years of experience working with databases, including designing, implementing, and optimizing database systems. Experience in data modeling, data warehousing, and data integration.
• Expertise in popular DBMS platforms such as PostgreSQL, Oracle, or MySQL, as well as understanding of No
  
  SQL databases like DynamoDB, MongoDB, Cassandra, or Couchbase.
• Knowledge of different database design techniques, such as Entity-Relationship (ER) modeling, normalization, and denormalization, to create efficient and scalable database structures in a microservices based architecture.
• Strong SQL skills for querying, analyzing, and managing data, as well as creating and maintaining stored procedures, triggers, and views.
• Experience with distributed data eventing and message streaming solutions such as Apache Kafka.
• Knowledge of security best practices, including encryption, authentication, and access control, to ensure that sensitive data is protected and compliant with government regulations.
• Experience with cloud-based database services such as Amazon Web Services (AWS) RDS, Google Cloud SQL, or Microsoft Azure SQL Database, and an understanding of the benefits and challenges of migrating to or designing databases in the cloud.
• Experience with data integration tools and techniques, including ETL (Extract, Transform, Load) processes, and queue based messaging systems to ensure seamless data flow between systems.
• Proficiency in one or more programming languages, such as Java, Python, or…