Senior Data Architect

Chenega Corporation
8d

About The Position

Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer’s core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! Chenega Agile Real-Time Solutions (CARS) was created with the purpose of providing integrated enterprise IT support to Federal customers both CONUS and OCONUS. CARS employs Subject Matter Experts (SMEs) with decades of experience working in the Federal marketplace. The Senior Data Architect is responsible for developing data warehousing blueprints, evaluating hardware and software platforms, and integrating systems.

Requirements

  • Bachelor's degree in Computer Science with 8+ years of experience
  • IBM Certified Data Architect, AWS Certified Big Data – specialty or industry equivalent certification
  • DoD 8570/8140 IAT-II compliant
  • TS/SCI clearance required

Nice To Haves

  • AWS Certificated Data Engineer – Associate or comparable industry certification
  • Experience developing and documenting database architectures via database architectural strategies at the modeling, design, and implementation stages
  • Experience developing database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery
  • Experience with using ETL (extract, transform, load) best practices in the creation of the database
  • Experience determining database structural requirements by analyzing client operations, applications, and programming
  • Experience managing data structures at the design phase of SQL and Non-SQL database management
  • Experience executing projects/programs with similar requirements

Responsibilities

  • Work in a data warehouse environment, including data design, database architecture, metadata, and repository creation.
  • Evaluate the reusability of current data for additional analyses.
  • Translate business needs into long-term architecture solutions.
  • Define, design, and build dimensional databases.
  • Conduct data cleaning to rid the system of old, unused, or duplicate data.
  • Review object and data models and the metadata repository to structure the data for better management and quicker access
  • Other duties as assigned
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