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Enterprise Data Architect (Hybrid Work Schedule)

Remote Full-time Live

About the position ICF is actively recruiting for an Enterprise Data Architect who is customer-focused and passionate about helping the business modernize and transform their systems through pragmatic enterprise strategies. Utilizing the combined knowledge of technology and business, the candidate will become a trusted advisor to business partners and provide leadership to plan, acquire/develop, implement, and ultimately operate enterprise-wide solutions. You will work with a team of talented professionals, contribute to mission-critical projects, and have the chance to make a significant impact in a rapidly growing organization. This position is part of the Corporate IT team. The role requires a high level of technical expertise and business experience in the common back-office process, combined with excellent planning, coordination, and communication skills, and the ability to collaborate effectively across all levels of the organization. You also tailor communications for a variety of audiences and bring clarity to the details around complex problems. You are invested in the use of automation and creating an environment that fosters DevSecOps approaches. This position is hybrid, based at our Reston, VA headquarters, with some in-office work required.

Responsibilities

  • Assume the role of technology advisor that understands customer business processes and maps them to technology solutions to optimize business outcomes.
  • Translate business needs into solution architecture requirements, making frequent use of diagrams to help communicate with broad audiences
  • Lead meetings and collaborate daily with internal customers on business solutions by validating key requirements and ensuring timely delivery.
  • Develop design documents and architecture diagrams.
  • Evolve the team’s capabilities toward high performing DevSecOps practices within the Agile framework.
  • Quickly gain knowledge on the functions and capabilities of new and emerging technologies including GenAI.
  • Evaluate current data models, data lakes, database design, etc. to make recommendations on design, performance, and quality improvements.
  • Establish and own a master data governance roadmap to support future state process and data improvement efforts.
  • Develop data governance and data quality metrics for reporting to leadership
  • Ensure solutions are developed and packaged in an easily consumable and repeatable way for customers and internal technical teams.
  • Perform proofs-of-concept as needed to determine technology solutions.
  • Develop integration and data transformations.
  • Collaborate with the Information Security team to ensure solutions comply with regulatory policies.

Requirements

  • Bachelor’s degree in computer science, Data Science, Information Systems, Engineering or related area of study.
  • 10+ years of experience in designing, building, and operating enterprise data management solutions.
  • 7+ years hands-on DevOps and Agile experience.
  • 7 + years of experience working with programming languages including Python, R, PowerShell, TypeScript, Angular/React, Apache Spark, AWS/Azure IaC, and/or SQL.
  • 5+ years of experience integrating solution using (REST) APIs in hybrid cloud and on-prem environments
  • Excellent written and verbal communication skills.
  • Work well independently as well as part of a team.
  • Results oriented and delivered solutions on tight deadlines.
  • Strong analytical and problem-solving skills.
  • Self-starter with ability to work efficiently with minimal guidance

Nice-to-haves

  • Experience and application of cloud native technologies such as data lake / lakehouse architecture, serverless architecture, and automated testing.
  • Application/data integration experience in government contracting business using systems such as Dynamics CRM, Costpoint, Workday, Maconomy, and/or Zycus.
  • 3+ years of experience in building and deploying applications in Azure Cloud.
  • Certified in cloud architecture Azure or AWS

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