Data Architect

4 weeks ago


Virginia Beach, Virginia, United States Applied Information Sciences Full time
Unlock Your Potential as a Data Architect

At Applied Information Sciences, we're dedicated to fostering a culture of growth and community. As a Data Architect, you'll play a crucial role in helping global brands and federal agencies solve complex problems through innovative technology solutions.

With a strong background in relational data and experience with Azure cloud computing, you'll design and implement scalable data processing and analytics solutions using cloud-native data services. Your expertise in big data technologies, including Azure Data Lake, Azure Data Factory, and Azure Synapse, will enable you to develop cutting-edge solutions that drive business value.

As a key member of our team, you'll work closely with other talented technologists to deliver high-quality solutions that meet the needs of our clients. Your ability to work in a client-facing role, understand requirements, and envision solutions will be essential in driving success.

What You'll Be Doing:

  • Designing data platform solutions using cloud-native data services
  • Developing scalable data processing and analytics solutions
  • Applying expertise in Azure Cognitive Services, Azure PaaS, and Machine Learning services
  • Providing mentorship to junior consultants

Location and Travel Details:

This is a remote position with occasional travel, if needed. Security Clearance and Citizenship Requirements:

Must be able to obtain an Interim Secret Clearance and/or have and maintain an Active Secret Clearance. U.S. Citizenship REQUIRED.

Required For This Opportunity:

U.S. Citizenship required. 10+ years of relational data background. 5+ years of data architecture experience. Expert with Azure cloud computing, including big data technologies. Proven experience developing big data solutions in the Azure space.

Nice to Have Skills:

  • Bachelors Degree preferred
  • Proficient in leveraging modern data lakehouse technologies such as Dremio to manage distributed data sources
  • Experience utilizing data cataloging and metadata management platforms like DataHub for data discovery and governance
  • Background with data science tools such as R, Python, and Scala is a plus
  • Experience with data visualization and analysis tools such as Power BI or Tableau
  • Desire to obtain or utilize relevant technical certifications as part of continuous professional growth

Equal Opportunity Employer:

Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law.



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