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Cloud Data Architect

Apply for Cloud Data Architect Position

Location: Washington, DC
Posted: 02/01/2024


  •  Develop and implement scalable, secure, and efficient data solutions in a cloud environment. 
  • Support the development of data strategies, data management and data governance practices.
  • Knowledge of data security best practices and experience implementing data governance and compliance measures in a cloud environment. 
  • Expert-level knowledge of data management strategies, directives, policies, procedures, and standards for data information exchange. 
  • Knowledge of common data exchange practices and data migration strategies.
  • Advanced knowledge of data software, database software, data technology, including standards, formats, web-based and cloud-based capabilities, and their implementation in the operating environment. 
  • Ability to collaborate with cross-functional team, communicate effectively, and provide leadership in guiding data architecture decisions.
  • Knowledge of methods for initiating and sustaining clean data practices across large system deployments with multiple interconnections with external systems. 
  • Expert knowledge in data safeguarding techniques such as encryption, honey pots, layered access controls, etc. 
  • Build data warehouse requirements, defining the requirements for the data warehouse, and support related data migration efforts. 


  • Bachelor’s degree in computer science, information security, data science, or related field.
  • Master’s degree; 10+ years of experience in design, analysis, and implementation of data architectures. (required)
  • Expertise in designing and implementing data models, databases, and data warehouses in a cloud environment. 
  • Experience designing and optimizing ETL processes for moving and transforming data within cloud environments. 
  • Strong analytical and problem-solving skills to address complex data-related challenges. (required).

Tools/Technology Experience:

  • Significant experience working with cloud platforms, such as AWS and Azure. (required). 
  • Understanding of both relational and NoSQL databases.
  • Familiarity with big data technologies such as Apache Hadoop, Apache Spark, and related tool for processing and analyzing large data sets.
  • Familiarity with programming languages used in data processing, such as Python and Java.
  • Familiarity with containerization technologies and orchestration tools for managing and deploying cloud-based applications.
  • Experience with data integration tools and middleware solutions for connecting various data sources and systems 

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