Data Architect, Senior

Booz Allen Hamilton•McLean, VA
•$99,000 - $225,000•Onsite

About The Position

Booz Allen is seeking a senior data architecture lead for its national security team. The role leads the design of data architecture solutions for large-scale data needs, including ingestion, analytics, enrichment, and security. It addresses data architecture issues in collaboration with business analysts and technology teams by optimizing ingestion pipelines, evaluating storage options and size and cost tradeoffs, and structuring data for search, discovery, and analytics. The Data Architect shares technical expertise and best practices, using SQL and near-real-time data streaming to develop data models and standards, ETL pipelines, metrics collection and reporting, and approaches for using AI to derive insights from data. The role leads a team in designing, defining, developing, and testing cloud solution components and serves as a liaison between clients and developers to ensure requirements are met and solutions are delivered. The position is based in McLean, Virginia, with Chantilly, Virginia, listed as an additional location. Remote work is not offered. A TS/SCI clearance with polygraph is required. The projected annual compensation range is $99,000 to $225,000.

Requirements

  • Experience with data modeling and design, including conceptual, logical, and physical models.
  • Experience with ETL/ELT pipelines using multiple languages and frameworks such as Python, Java, and Apache NiFi.
  • Experience with relational and non-relational databases such as Oracle, MongoDB, PostgreSQL, Redis, and Neo4J.
  • Knowledge of SQL.
  • TS/SCI clearance with a polygraph.
  • High school diploma or GED.

Nice To Haves

  • Experience with multiple clouds such as Amazon and Oracle.
  • Experience designing, implementing, and sustaining ETL pipelines using Apache NiFi.
  • Bachelor’s degree in Computer Science or Information Science.
  • AWS Certified Data Engineer certification.
  • Oracle Certified Professional certification.

Responsibilities

  • Lead the design of data architecture solutions for large-scale data ingestion, analytics, enrichment, and security.
  • Resolve data architecture issues with business analysts and technology teams.
  • Optimize data ingestion pipelines.
  • Work with project teams to identify appropriate storage, including size and cost tradeoffs, and structures for search, discovery, and analytics.
  • Recommend data architecture enhancements.
  • Share technical expertise and introduce best practices.
  • Design data models and standards, ETL pipelines, metrics collection and reporting, and approaches for using AI to extract insights from data.
  • Lead a team in designing, defining, developing, and testing cloud solution components.
  • Serve as a liaison between clients and developers to ensure requirements are met and solutions are delivered.

Benefits

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