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Data Architect in McLean, VA at APEX Systems

Date Posted: 12/7/2018

Job Snapshot

Job Description

Job #:  918690

Requirements:

Must have the ability to obtain and maintain a Secret  security clearance

Must have Bachelors degree
Located: Mclean, VA

Perm Opportunity- PTO/Holiday Pay/Medical/Dental/Vision 401k etc.

Data Architect 

 

Description

Edgesource is seeking a Data Lead Architect to join our team of qualified, diverse individuals. This position will be located in McLean, VA. The qualified applicant will become part of Edgesource’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

 

Minimum Qualifications:
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

 

Preferred Qualifications:

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

 

 

 

 

 

 

 

 

 

EEO Employer

Apex is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at 844-463-6178