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Accenture

Advises businesses and runs their technology

Data Architect - Dataops, SME

Data ManagementConfirmed live in the last 24 hours
Full-timeChantilly, VA, USA$109.5k - $224.2kIn-person

About the Job

Requirements

  • A bachelor's degree is required.
  • A minimum of 10 years of experience in data architecture, data engineering, or related areas is required.
  • Strong experience with enterprise data platforms, distributed systems, and modern data pipelines is required.
  • Familiarity with semantic technologies (RDF, OWL, SPARQL), ontologies, and knowledge graph design is required.
  • Experience with metadata management, data lineage, and data governance processes is required.
  • Knowledge of cloud data services and secure, multi-environment data integrations is required.
  • The role requires the ability to communicate complex technical concepts clearly to non-technical stakeholders.
  • The role requires experience with an in-house custom-developed application.
  • The role requires advanced AI, generative AI, and multimodel engineering, including multimodel and multimodality orchestration.
  • The role requires provenance and end-to-end data lineage tracking.
  • The role requires experience with air-gapped, hybrid, and on-premises operational environments.
  • The role requires user interface, backend, and middleware engineering using TypeScript, React, Python, and other modern technologies.
  • Applicants for employment in the United States must have work authorization that does not now or in the future require visa sponsorship.

Responsibilities

  • 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 artificial intelligence 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.

Desired Qualifications

  • Experience supporting artificial intelligence or machine learning teams, retrieval architectures, or vector-based search is preferred.
  • A background working in secure, multi-enclave, or zero-trust environments is preferred.
  • Experience with streaming data, real-time processing, or hybrid cloud architectures is preferred.
  • An advanced degree in Computer Science, Information Science, Data Engineering, or a related field is preferred.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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