Cloud Data Architect

Datawiz Corporation - Chantilly, VA

Full-time - Mid Level

Chantilly, VA

Professional, Scientific, and Technical Services

About the position

The Cloud Data Architect is responsible for collaborating with various architects and stakeholders throughout the software development cycle to create or modify applications and security procedures. This role involves overseeing data migration, developing data strategies, and ensuring data quality and availability across multiple applications.

Responsibilities

• Collaborate with the business analyst and business leaders to understand the application data requirements.
• Research and properly evaluate sources of information to support business and application data needs.
• Prepare accurate database design and architecture models.
• Oversee and guide the migration of data from legacy systems to new solutions.
• Recommend solutions to support the Enterprise Data Management Program.
• Develop data strategy and management documentation, including data strategy plans and enterprise architecture roadmaps.
• Develop technical documentation such as database design documents and data dictionaries.
• Work with business data stewards to define Data Glossaries.
• Compare and analyze to identify patterns, relationships, and problems impacting data within and across multiple applications.
• Analyze legacy application data, understand business requirements, and develop future-state data architectures.
• Participate in teams to evaluate new applications from a data perspective.
• Create and maintain data standards.
• Conduct data analysis to determine data availability and quality.

Requirements

• Bachelor's degree in mathematics, statistics, computer science, or related field, or equivalent experience.
• At least five (5) years of related experience.
• Minimum of three (3) years of experience as a Data Architect.
• Knowledge or experience of data frameworks.
• Experience with Migration to Cloud.
• Experience with Data discovery, tagging, and indexing.
• Strong computer skills and ability to use necessary databases and software.
• Experience working with private and sensitive personal information.
• Experience in disparate data environments such as with SharePoint resolutions.
• Interpersonal and customer service skills when meeting with and interviewing business and technical team members.
• Knowledge of Data Modeling tools such as ERWin or ER Studio.