Booz Allen Hamilton-posted 4 months ago
$86,800 - $198,000/Yr
Full-time • Mid Level
Washington, DC
Professional, Scientific, and Technical Services

Your combination of people skills and data architecture expertise makes you the team hero, solving one problem after another. We're looking for a data architect to perform data access analysis and develop strategies for data acquisitions, archive recovery, and implementation of the data strategy. You'll define, design, and build dimensional and relational databases, develop data warehousing blueprints, evaluate hardware and software platforms, and integrate systems. You'll leverage Agile design approaches to develop, manage, evaluate, and improve tools and processes, and develop and implement enterprise data strategies for the management and sharing of data. You'll also ensure that enterprise data assets are governed by a comprehensive data management approach. Use your experience as a data architect to design connective data fabric solutions to help our clients solve complex systems-of-systems challenges for next-generation MI applications. You'll apply model-driven design principles to develop and demonstrate the capability of designs to meet the client's mission performance requirements. Use digital engineering tools and principles to decompose and assist with managing performance budgets, and apply Agile development principles to develop roadmaps and work packages that align with project priorities and make use of collaboration and management software tools to manage project execution. You'll support proposal teams and contribute to or lead the authoring of technical content, identify and pursue expanded or new technical scope with current and new customers, and develop technical products to support the capture of additional work through viewpoints, whitepapers, or other intellectual capital. You'll also build and maintain trusted relationships with clients through technical excellence. Efficiently communicate technical information to senior and executive leadership and clients, communicate with high technical precision through succinct presentations, engineering reviews, and technical briefings, and convey complex technical concepts simply to non-technical audiences.

  • Perform data access analysis and develop strategies for data acquisitions, archive recovery, and implementation of the data strategy.
  • Define, design, and build dimensional and relational databases.
  • Develop data warehousing blueprints and evaluate hardware and software platforms.
  • Integrate systems and leverage Agile design approaches to improve tools and processes.
  • Develop and implement enterprise data strategies for data management and sharing.
  • Ensure enterprise data assets are governed by a comprehensive data management approach.
  • Design connective data fabric solutions for complex systems-of-systems challenges.
  • Apply model-driven design principles to meet client mission performance requirements.
  • Use digital engineering tools to manage performance budgets.
  • Support proposal teams and lead the authoring of technical content.
  • Identify and pursue expanded or new technical scope with customers.
  • Build and maintain trusted relationships with clients through technical excellence.
  • Communicate technical information to senior leadership and clients.
  • Experience designing cloud and on-premises agnostic scalable data architectures.
  • Experience developing for Data Lakes, Data Warehouses, or Data Lakehouses.
  • Experience developing data orchestration pipelines and workflow automation.
  • Experience modeling complex data routing networks and optimizing dynamic bandwidth.
  • Knowledge of Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED).
  • TS/SCI clearance.
  • Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field.
  • Experience with specific data applications such as Palantir Foundry.
  • Experience with MBSE tools such as Cameo Enterprise Architecture or similar.
  • Experience in Agile and DevSecOps software development.
  • Knowledge of automation techniques using artificial intelligence and machine learning.
  • Master's degree in a Science, Technology, Engineering, or Mathematics (STEM) field.
  • Health, life, and disability insurance.
  • Financial and retirement benefits.
  • Paid leave and professional development.
  • Tuition assistance and work-life programs.
  • Dependent care support.
  • Recognition awards program for exceptional performance.
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