> Markdown version of [/jobs/ext/3787153-data-architect](https://www.wearedevelopers.com/jobs/ext/3787153-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Accenture - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Salary:** $78,600.0 - $160,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Databases, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Security, Dataspaces, Interoperability, Data Storage Technologies, Data Ingestion, Data Lakes, Data Pipelines - **Published:** October 16, 2026 - **Apply:** https://www.juju.com/job/1_accentureghi3-4678457006 ## About the Role The Data Architect's primary goal is to ensure that data on the platform is findable, accessible, interoperable, and reusable (FAIR), enabling advanced analytics and AI/ML at scale. **Must have:** + 4 years of experience data engineer, science or architecture **Security Clearance:** + Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of **California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia** . The base pay range for this position in these locations is shown below. ## Description Join us to drive positive, lasting change that moves missions and the government forward! **Job Description** The Data Architect is responsible for designing and governing the entire data ecosystem of the Platform. Establish the enterprise data model, define standards for data storage (e.g., data lakes, warehouses, databases), and design the architecture for data ingestion, processing pipelines (ETL/ELT), and data access. Work closely with the GRC and security teams to ensure data governance, data quality, and data protection policies are designed into the architecture from the start.