Cloud Data Architect

Location: Washington, DC
Posted: 05/13/2024

Responsibilities:

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.

Experience/Education:

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