Data Architect, Lead

Booz Allen Hamilton•Chantilly, VA
•$99,000 - $225,000

About The Position

The Data Architect, Lead designs data architecture solutions for big data analytics in support of national security. The role uses extensive technical expertise to address complex challenges and deliver data architecture solutions. The Data Architect resolves routine architecture-related issues with business analysts and technology teams, and works with project staff to make decisions and recommendations about future data architecture development. The role shares technical expertise, introduces best practices, and uses tools and analytical languages such as Clojure, Scala, Python, and R to design databases and applications. It leads a team designing, defining, developing, and testing cloud solution components, and serves as a liaison between clients and developers to ensure requirements are met and solutions delivered. The position also helps establish processes and facilitate technological innovation.

Requirements

  • 10+ years of experience in data analytics, data architecture, or data engineering.
  • 5+ years of experience working directly with business stakeholders, IT organizations, and technical teams to develop and implement data solutions.
  • 5+ years of experience leading data-focused initiatives involving analytics, machine learning, artificial intelligence, or enterprise data management.
  • Experience recommending and implementing data solutions to address business and mission requirements.
  • Knowledge of an analytical or statistical language such as Clojure, Scala, Python, or R.
  • Ability to work independently and execute technical efforts with minimal oversight.
  • Top Secret clearance.
  • Bachelor’s degree in a technology field.

Nice To Haves

  • Experience with ColdFusion.
  • Master's degree in Mathematics or Statistics.

Responsibilities

  • Lead the design of data architecture solutions for big data analytics.
  • Resolve routine data architecture-related issues in collaboration with business analysts and technology teams.
  • Work with project staff to make decisions and recommendations on future data architecture development.
  • Share technical expertise and introduce best practices.
  • Design databases and applications using relevant tools and analytical languages.
  • Lead a team in designing, defining, developing, and testing cloud solution components.
  • Act as a liaison between clients and developers to ensure requirements are met and solutions are delivered.
  • Establish processes and facilitate technological innovation.

Benefits

  • Health, life, disability, financial, and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.
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