Data Architect

Accenture Federal Services • Arlington, VA

1d

About The Position

At Accenture Federal Services, our purpose is to help the US federal government strengthen the nation, enhance public safety, and improve lives through technology and ingenuity. We are a technology company within the global Accenture network, comprising over 13,000 dedicated individuals. We are recognized as a Glassdoor Top 100 Best Place to Work, fostering a collaborative and supportive community where employees are empowered to grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to drive meaningful, lasting change that advances government missions.

The Data Architect is responsible for designing and governing the entire data ecosystem of the Platform. This includes establishing the enterprise data model, defining standards for data storage (e.g., data lakes, warehouses, databases), and architecting solutions for data ingestion, processing pipelines (ETL/ELT), and data access. Collaboration with GRC and security teams is essential to embed data governance, data quality, and data protection policies into the architecture from the outset. The primary objective for the Data Architect is to ensure data on the platform is findable, accessible, interoperable, and reusable (FAIR), thereby enabling advanced analytics and AI/ML at scale.

Requirements

• 4 years of experience designing enterprise data architectures and models
• Bachelor’s degree (or an additional 4 years of experience) in IT, Cybersecurity, Computer Science, Information Systems, Data Science, Software Engineering, or related field
• Active TS/SCI clearance

Responsibilities

• Designing and governing the entire data ecosystem of the Platform.
• Establishing the enterprise data model.
• Defining standards for data storage (e.g., data lakes, warehouses, databases).
• Designing the architecture for data ingestion, processing pipelines (ETL/ELT), and data access.
• Working closely with GRC and security teams to ensure data governance, data quality, and data protection policies are designed into the architecture from the start.
• Ensuring that data on the platform is findable, accessible, interoperable, and reusable (FAIR), enabling advanced analytics and AI/ML at scale.

Benefits

• Hands-on experience
• Certifications
• Industry training

What This Job Offers

• Job Type: Full-time
• Career Level: Senior