Senior Data Architect - 100% Remote (REF1596J)

Chantilly, VA, United States

Citizant

Citizant provides smarter, leaner solutions to government IT and business challenges. Mission support for Federal CIOs and CDOs.

View company page

Company Description

Citizant is a leading provider of professional IT services to the U.S. government.  We seek to address some of our country’s most pressing challenges in the areas of Agile application development, Enterprise Data Management, Enterprise Architecture, and Program Management support services – focusing on the U.S. Departments of Homeland Security and Treasury. We strive to hire only ethical, talented, passionate, and committed “A Players” who already align with the company’s core values:  Drive, Excellence, Reputation, Responsibility, and a Better Future.  No matter how large we grow, Citizant will retain its collaborative, supportive, small-company culture, where successful team effort to address external and internal customer challenges is valued above all individual contributions.

Job Description

Join our remote team as a Sr. Data Architect in support of a CDO office where you can work with our federal clients on enterprise data management and zero trust. The candidate will analyze data-centric applications and data flows to categorize and classify data to prepare for migrating data into a data lake and metadata into a data catalog.

Responsibilities 

  • Categorize and classify data in support of the establishing the CDO Zero Trust Data Pillar
  • Analyze applications and data flows for enterprise systems.
  • Recommend new features and improvements to enhance enterprise data standards awareness, dissemination, end user comprehension, and collaboration. 
  • Document detailed data mappings and prescriptive guidance to help end users understand enterprise data assets and their relationship dependencies. 
  • Present abstractions of complex data architectures to mixed audiences to help promotion and adoption of new data governance practices. 
  • Document data health metrics, data definitions, and data governance standard operating procedures. 

Qualifications

Required Skillset:

  • Experience in data migration methodologies and best practices on hybrid platforms. 
  • Experience analyzing applications and data flows. 
  • Experience collaborating with subject matter experts and project teams to identify, define, collate, document, and communicate data migration requirements. 
  • Experience working on an Agile team

Desired Skillset:

  • Experience with a cloud computing platform such as AWS or Azure
  • Experience with Zero Trust Data Pillar

Education:

  • Bachelor's degree in Computer Science, Information Systems, or a related field is required.
  • Minimum of 6 years of experience working in data architecture, data engineering, data analysis, or data migration.

Clearance Requirement:

  • Active Public Trust or ability to obtain a Public Trust security clearance.
  • US Citizenship required. 

Additional Information

Citizant strives to be an employer of choice in the Washington metropolitan area. Citizant associates accept challenging and rewarding work and in return receive excellent compensation and benefits, as well as the opportunity for personal and professional development.

Citizant is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture AWS Azure Computer Science Data analysis Data governance Data management Engineering Security

Perks/benefits: Career development Health care

Regions: Remote/Anywhere North America
Country: United States
Job stats:  9  3  0
Category: Architecture Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.