Data Architect (DataOps) - SME
Summary
Serves as subject-matter-expert Data Architect at Accenture Federal Services, designing enterprise data architectures that integrate databases, modern data platforms, knowledge graphs/ontologies, and secure governed pipelines to support federal clients' analytics and AI work, using RDF/OWL/SPARQL, TypeScript, React, and Python in secure/air-gapped environments.
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
As published by greenhouse · 16 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (1)
- If yes, please list the full name of the employee(s) and your relationship to them. optional
Pick from a list (15)
- State
- Are you at least 18 years of age?
- Are you legally authorized to work in the United States?
- Many AFS positions require US citizenship. Please indicate your citizenship status so we can determine eligibility for specific roles. optional
- Will you now or in the future require sponsorship for employment visa status (for example, H-1B visa status)?
- Have you entered into a non-disclosure or non-compete agreement or understanding of any kind?
- Have you worked at Accenture in the past?
- How did you hear about us?
- Do you hold a security clearance?
- At your current employer, are you currently working on a project with Accenture or have you worked on a project with Accenture in the past 24 months?
- Are you a current employee of the U.S. Government (including U.S. Congress or military) or any state or local government? This includes entities owned or controlled by the U.S. Federal Government, such as Amtrak, the United States Postal Service, and USAID (see list of exceptions below). NOTE: answer yes if you have accepted the “Fork-in-the-Road” offer, separated with a Deferred Retirement Plan, or are on administrative leave pending separation from the Government.
- Will you be serving as enlisted personnel in either the Reserves or the National Guard while working for AFS?
- Were you an employee of the U.S. Government (including U.S. Congress or military) or any state or local government within the past 10 years? This includes entities owned or controlled by the U.S. Federal Government, such as Amtrak, the United States Postal Service, and USAID (see list of exceptions below).
- Do you have any family members or people you have close relationships with who work for Accenture Federal Services?
- Affirmation