Cloud-Native Data Analytics Architect

Are you tired of wasting your skills working to patch legacy applications and ready for a new challenge? Apply your knowledge, skills, and experience to building a truly modern application that is new development and cloud native, and work in a Sec Dev Ops  environment that includes continuous integration/continuous deployment, test automation, in a consistent agile software development framework? Join this passionate team of industry-leading individuals supporting best practices in agile software development for the Department of Homeland Security (DHS).

As a member of the team, 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.

The ability to be adaptable and work constructively with a technically diverse and geographically separated team is crucial.

We are looking for Data Analytics Specialist who have worked with or have a strong interest in agile software development practices and delivering deployable software in short sprints.

What you’ll get to do:

• Help shape the future of how some of the nation’s most complex and challenging data are used to enhance national security and protect the lives of Agents, Officers, and those entering the country.
• 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.
• 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.

You have:

• Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria will include but not limited to:
• 3-year check for felony convictions
• 1-year check for illegal drug use
• 1-year check for misconduct such as theft or fraud
• 7 years of professional and/or academic experience working on complex data challenges in the areas of data architecture and engineering, data science, data analysis and visualization, machine learning, artificial intelligence, or related discipline.

• Tool preferences include at least two of SAP Business Objects, IBM Cognos, Qlik Sense, Informatica, and Databricks.

• Database skillset for Oracle. Databricks, AWS RDS concepts, and Redshift

• Strong software development background using Agile or Dev Ops methods and deep familiarity with cloud-native technologies.

• College degree (B.S.) in Mathematics, Statistics, Computer Science, Software Engineering, or a related discipline. (Industry and/or Academic experience is acceptable in lieu of degree.)

You are good at:

• Working on unusually complicated problems and providing solutions that are highly creative and ingenious, exhibiting creativity and resourcefulness.

• Helping customers and mission users conceptualize and prioritize their data analysis and visualization needs.

• Evaluating existing data sets and reporting architectures to identify strategic gaps and apply modern technologies to creatively achieve superior mission outcomes.

• Applying your skills in development languages such as SQL, Sparks, Perl, Python and R to create or augment business and operational intelligence tools to detect trends, patterns, and non-obvious relationships in large, complex, and disparate data sets.

• Collaborating with teams across the organization to help prioritize…