Who you'll be:
The Data Architect (SME) is responsible for leading the design and management of the organization’s enterprise data environment, ensuring information is accurate, connected, and supports advanced analytics and AI. This role integrates traditional databases with modern data platforms and semantic/knowledge-graph technologies to provide meaningful insights and smarter decision-making. The SME establishes data standards, ensures secure data sharing, and collaborates with engineering and AI teams to maintain structured, governed, and high-quality data.
What you'll do:
- Design and maintain enterprise data architectures that integrate multiple data systems.
- Build and manage knowledge graphs, ontologies, and metadata structures to improve data context and discovery.
- Develop secure, well-governed data pipelines and processes for high-quality, trusted data.
- Support AI and analytics teams by providing structured, contextual data for model development and retrieval workflows.
- Establish data governance, data quality, and metadata standards across the organization.
- Evaluate new technologies and recommend improvements to data platforms and processes.
- Ensure data sharing and access follow security, compliance, and zero trust requirements.
What you need:
- Bachelor's degree required.
- Minimum of 10 years of experience in data architecture, data engineering, or related areas.
- Strong experience with enterprise data platforms, distributed systems, and modern data pipelines.
- Familiarity with semantic technologies (RDF, OWL, SPARQL), ontologies, and knowledge graph design.
- Experience with metadata management, data lineage, and data governance processes.
- Knowledge of cloud data services and secure, multi-environment data integrations.
- Ability to communicate complex technical concepts clearly to non-technical stakeholders.
Unique Skills / Technical Requirements:
- In-house custom developed application.
- Advanced AI, GenAI & Multi-Model Engineering, including multi-model and multi-modality orchestration.
- Provenance and end-to-end data lineage tracking.
- Air gapped, hybrid, and on-premise operational environments.
- UI, backend, and middleware engineering using TypeScript, React, Python, and other modern technologies.
Nice to have:
- Experience supporting AI/ML teams, retrieval architectures, or vector-based search.
- Background working in secure, multi-enclave, or zero trust environments.
- Experience with streaming data, real-time processing, or hybrid cloud architectures.
- Advanced degree in Computer Science, Information Science, Data Engineering, or related field.
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. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Skills Required
- Bachelor's degree
- At least 10 years of experience in data architecture, data engineering, or related areas
- Experience with enterprise data platforms, distributed systems, and modern data pipelines
- Familiarity with RDF, OWL, SPARQL, ontologies, and knowledge graph design
- Experience with metadata management, data lineage, and data governance processes
- Knowledge of cloud data services and secure, multi-environment data integrations
- Ability to communicate complex technical concepts clearly to non-technical stakeholders
- Experience with in-house custom-developed applications
- Experience with AI, Generative AI, multi-model engineering, and multi-modality orchestration
- Experience with provenance and end-to-end data lineage tracking
- Experience with air-gapped, hybrid, and on-premise operational environments
- Experience with TypeScript, React, Python, and modern UI, backend, or middleware technologies
- Experience supporting AI/ML teams, retrieval architectures, or vector-based search
- Background working in secure, multi-enclave, or zero trust environments
- Experience with streaming data, real-time processing, or hybrid cloud architectures
- Advanced degree in Computer Science, Information Science, Data Engineering, or a related field
What We Do
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture LLP. It empowers US federal agencies to reinvent their operations and deliver missions faster using technology and AI. By leveraging mission expertise and commercial innovation, the company provides solutions in cloud, data, and cybersecurity to help the government make the nation stronger, safer, and more resilient.







