Northrop Grumman Data Architect in McLean, Virginia
Are you interested in expanding your career through experience and exposure, all while supporting a mission that seeks to ensure the security of our nation and its allies? If so, then Northrop Grumman is the place for you. As a leading global security company, we provide innovative systems, products and solutions to our customers worldwide. We are comprised of diverse professionals that bring different perspectives and ideas, understanding that the more experiences we bring to our work the more innovative we can be. As we continue to build our workforce we look for people that exemplify our core values, leadership characteristics, and approach to innovation.
Northrop Grumman Technology Services sector is seeking a Data Architect to join our team of qualified, diverse individuals. This position will be located in McLean, VA. The qualified applicant will become part of Northrop Grumman's Department of State (DOS) Consular Systems Modernization (CSM) Program, for the Bureau of Consular Affairs (CA). This initiative is intended to modernize and consolidate the operational environment under a common technology framework in order to better support the services provided to CA's customers. As part of the modernization program, the data engineer will work closely with lead data architect and interface architect along with Project teams to design and implement data architecture strategy that adequately supports both the system and the project needs.
Roles and Responsibilities:
Support data engineering activities on a large scale data analytics project team in developing technical architectures associated to standing up and deploying a new data analytics platform with data loads coming in from internal and accessing external data sources
Bring in hands-on experience to implement solutions to consume incoming data using various tools based on streaming and at rest data feeds, consumable web services/APIs, and Extract Transform and Load (ETL) routines
Assume responsibilities as a data architect and perform data engineering activities to implement the data architecture working as a member of Agile project teams to ensure system interface, data exchange and security constraints are met per the requirements
Support development of systems specifications, input/output processes, and working parameters
Work with data designer to evaluate, design and implement effective data architecture within the Scaled Agile Framework (SAFe) based team structure
Perform tasks to implement system interface to access, retrieve, process to the data analytics platform
Bring in hands-on experience to be able to use data science solutions, data acquisition processes and ETL
Support evaluation of best methods, tools and interfaces to prepare data and make it available to data scientists for analysis
Support the data architecture implementation using the big data tools identified for the data analytics platform that allows to access, integrate and store data
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
Bachelor's degree in a related field (computer science) and at least 8 years' experience
Experience in systems implementation and Big Data Technologies
Agile development experience implementing systems and Data Analytics projects
Experience leading several development and operational Business Intelligence and Data Analytics projects that requires complex data governance and access control challenges
Hands-on experience leading the development of data architectures for large scale systems
Ability to provide expertise in design and implementation of data critical applications
Experience using open source tools for scalable processing such as Apache NiFi, languages such as R, Python, Scala, open source data management platforms such as Spark and Hadoop
Experience in cloud based environments including deploying solutions on public/hybrid clouds
Must have a current, active Secret (or higher) clearance. Interim clearance is acceptable.
Candidates with these desired skills will be given preferential consideration:
Experience using SAP HANA.
Implementation and productization of predictive risk models developed using R and Python
Hands on experience in implementing predictive analytics solutions using industry known data science and machine learning platforms
Hands on experience in implementing data analytics in cloud using AI and ML techniques provided by CSP such as AWS AI
Hands on experience in using any data analytics tools such as SAP Analytics, SAS Analytics, Jupyter or others
Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit www.northropgrumman.com/EEO . U.S. Citizenship is required for most positions.