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Accenture

Advises businesses and runs their technology

Knowledge Engineering Solution Architect Associate Director

Data ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A minimum of 12 years of enterprise software engineering experience, including significant brownfield modernization at multi-million-line-of-code scale.
  • A minimum of 8 years of enterprise data architecture, semantic modeling, ontology design, and knowledge graph engineering experience.
  • A minimum of 5 years of hands-on experience designing and operating large-scale distributed data pipelines, analytics engines, and enterprise data platforms.
  • A minimum of 5 years working fluency with knowledge graphs and ontology modeling, including Ontology, Knowledge Graph, and Data Taxonomy, plus static analysis, dependency analysis, and Git history mining.
  • A minimum of 3 years of Python experience for graph analytics, Resource Description Framework (RDF) processing, and data engineering, alongside advanced fluency in SPARQL, Cypher, and SQL.
  • A minimum of 5 years of experience leading the development, commercialization, or ongoing evolution of a productized offering, platform, or reusable methodology, with direct accountability for its roadmap, adoption, or business outcomes.
  • A bachelor's degree or equivalent work experience of at least 12 years is required. An associate's degree is accepted with at least 6 years of work experience.

Responsibilities

  • Lead knowledge engineering and ontology workstreams for client proposals, including solution architecture, technical approach, staffing models, and effort estimations.
  • Facilitate discovery workshops with business and technical stakeholders to define domain boundaries, high-value use cases, and key performance indicators.
  • Build business cases for Knowledge Graphs, Semantic Layers, and Generative AI / GraphRAG architectures by quantifying return on investment, defining success metrics, and designing proof-of-concept pilots.
  • Present technical architectures during client presentations, executive briefings, and vendor evaluations, and build interactive modeling demonstrations on sample enterprise datasets.
  • Draft Statements of Work, deliverables, and scope guardrails for ontology, graph analytics, and semantic layer implementations.
  • Design the upper ontology (meta-model) and establish inheritance and specialization rules across domain and sub-domain ontology modules.
  • Model core domain entities, relationships, attributes, business glossaries, intent taxonomies, and cross-walk mappings to industry standards such as FIBO, SNOMED, and W3C standards.
  • Architect bitemporal data models using valid time and transaction time to track historical state changes, schema evolution, and ontology versioning.
  • Define data quality constraints using SHACL, entity resolution frameworks, and semantic governance policies to prevent semantic drift across multi-source integrations.
  • Develop baseline ontology models, establish data quality shapes using SHACL/ShEx, write core SPARQL/Cypher queries, and build prototype data and graph pipelines using Python and SQL/SPARQL.
  • Set modeling standards for engineering teams, author semantic/knowledge sections of requests for proposals, lead technical discovery workshops, and create reusable semantic assets that accelerate practice delivery.

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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