Data Architect in Washington, DC

Accenture Federal Services•Arlington, VA

1d•Onsite

About The Position

Accenture Federal Services is hiring a Data Architect to design and maintain enterprise data warehouse architecture, models, and integration solutions. The role establishes data standards, governance practices, and quality controls, while collaborating with business and technical stakeholders to turn requirements into scalable solutions. It also supports ETL/ELT processes, data migrations, database performance optimization, architecture reviews, Agile ceremonies, and technical design discussions. The position requires working onsite in Washington, DC and eligibility for Public Trust.

Requirements

Public Trust eligibility.
Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field, or an equivalent combination of education and experience; an additional four years of relevant experience may substitute for the degree requirement.
At least 3 years of experience in data architecture, data warehousing, or a related field.
Experience with data warehouse architecture and dimensional data modeling.
Experience with ERWIN data modeling and design diagrams.
Experience with SQL and database design.
Experience with ETL/ELT processes and data integration.
Experience with data governance and data quality management.
Experience with Agile/Scrum methodologies.
Strong analytical, communication, and technical documentation skills.
Ability to work onsite in Washington, DC.

Nice To Haves

Experience with enterprise data warehouse platforms and business intelligence (BI) tools.
Knowledge of data migration strategies and performance tuning.
Experience supporting reporting, analytics, and business intelligence initiatives.
Familiarity with scalable, secure, and high-performance data architecture solutions.

Responsibilities

Design, develop, and maintain enterprise data warehouse architecture, data models, and data integration solutions.
Establish and enforce data standards, governance practices, and data quality controls.
Partner with business and technical stakeholders to translate requirements into scalable data solutions.
Support ETL/ELT processes, data migrations, and database performance optimization.
Participate in architecture reviews, Agile ceremonies, and technical design discussions.
Create and maintain architecture diagrams, data dictionaries, SOPs, and technical documentation.