{"schemaVersion":"jobsearcher.job.v1","id":"fddac81cd6fa9f8607474a08","url":"https://jobsearcher.com/jobs/fddac81cd6fa9f8607474a08","canonicalUrl":"https://jobsearcher.com/jobs/fddac81cd6fa9f8607474a08","title":"Knowledge Engineer Manager - Back-end Engineer","description":"We Are:\nAccenture is a global professional services and solutions company that helps leading organizations reinvent with digital, cloud, data, and AI capabilities, drawing on its large global workforce, industry expertise, and ecosystem partnerships to create 360° value.\nBy combining hands-on engineering with deep industry context, we help organizations build their digital core, modernize operations, unlock value from data and AI, and deliver tangible business outcomes at speed and scale.\nRole Summary:\nWe are looking for a Back-End Engineer to design, build, and operate the data infrastructure and services that power our AI-driven knowledge platform. You will work across the full back-end stack — architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on. You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph query, standing up a vector store, or shipping a production-grade REST API. Knowledge graph and semantic technology experience is central to this role, but the work extends across the broader data and service layer: ingestion, transformation, storage, retrieval, and delivery at enterprise scale.\nYou Are:\nWe are looking for a Back-End Engineer to design, build, and operate the data infrastructure and services that power our AI-driven knowledge platform. You will work across the full back-end stack — architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on. You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph query, standing up a vector store, or shipping a production-grade REST API. Knowledge graph and semantic technology experience is central to this role, but the work extends across the broader data and service layer: ingestion, transformation, storage, retrieval, and delivery at enterprise scale.\nKey Responsibilities:\nHydrate structured and semi-structured data into Knowledge Graphs by mapping source data to ontology models.\nDevelop data mapping and transformation workflows using R2RML or similar technologies.\nWrite and optimize SPARQL queries for graph loading, validation, and retrieval.\nBuild and maintain data ingestion pipelines and integrate data from enterprise systems.\nDesign and optimize relational database schemas and queries to support efficient graph hydration and ETL workflows.\nDeploy, configure, and maintain vector database infrastructure for embedding storage, indexing, and semantic retrieval at scale.\nDesign and maintain scalable graph query APIs consumed by internal application and product teams.\nPerformance-tune graph database queries, indexing strategies, and data access patterns.\nOwn containerization, deployment, and monitoring of graph services in cloud environments.\nEnsure data quality, ontology alignment, and secure handling of sensitive data (PII/PHI).\nCollaborate with ontologists, architects, and application teams to support Knowledge Graph implementations.\nPreferred Technology Stack:\nSemantic technologies: RDF, OWL, SKOS, RDFS\nQuery languages: SPARQL\nMapping technologies: R2RML, CSVW, SHACL (preferred)\nGraph databases: GraphDB, Stardog, Neo4j, Amazon Neptune\nRelational databases: PostgreSQL, MySQL, SQL Server\nVector stores: Pinecone, Weaviate, Milvus, Qdrant\nSearch: Elasticsearch / OpenSearch\nProgramming: Python, Java (preferred)\nData formats: SQL, JSON, XML, CSV\nIntegration: REST APIs, ETL tools, Apache NiFi, Airflow (preferred)\nInfrastructure: Docker, Kubernetes, Helm\nCloud: AWS Neptune, Azure Cosmos DB, GCP\nMessaging: Kafka, RabbitMQ\nVersion control: Git\nThis role is hybrid in nature and will require time in office and traveling to client locations. Travel can be between 20-80%\n\nHere's What You Need:\nMinimum 5 years experience in Knowledge Graph data hydration and ontology-based data mapping, including strong understanding of RDF, SPARQL, and semantic technologies.\nMinimum 5 years experience with R2RML or similar mapping frameworks for transforming relational data into graph models.\nMinimum 5 years experience with graph databases (e.g., StarDog, GraphWise, Neo4J), along with Elasticsearch/OpenSearch. including strong SQL proficiency.\nMinimum 5 years hands-on experience with relational databases (e.g., PostgreSQL, MySQL, or SQL Server), including schema design, indexing, and query optimization.\nMinimum 5 years experience deploying and operating vector databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) in production environments.\nMinimum 5 years Proficiency in Python or Java for automation, integration, and service development and experience designing and documenting REST APIs for internal consumers.\nBachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience\nBonus Points if You Have:\nFamiliarity with containerization tools (Docker, Kubernetes).\nKnowledge of data ingestion pipelines, ETL/integration, and enterprise system integration.\nUnderstanding of PII/PHI handling, data anonymization, and data governance.\nDesign and build user-facing applications and dashboards that surface Knowledge Graph data to end users.\nDevelop and maintain REST and GraphQL APIs bridging graph backends and frontend clients.\nExperience with graph visualization libraries (D3.js, Cytoscape.js).\nFamiliarity with a BFF (Backend for Frontend) or API gateway pattern.\nExperience with AI agent-driven pipelines or RAG architectures.\nUnderstanding of Federated Knowledge Graph architectures.\nExperience working across Development, Test, UAT, and Production environments.\nCloud platform experience (AWS Neptune, Azure Cosmos DB, or GCP).\nExperience with event-driven architectures and message queuing (Kafka, RabbitMQ).\nFamiliarity with infrastructure-as-code tools (Terraform, Helm).\nExperience with database replication, partitioning, and high-availability patterns for relational systems.\nFamiliarity with vector embedding pipelines and strategies for chunking, re-ranking, and retrieval optimization.\n\nCompensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.\nWe anticipate this job posting will be posted until 09/30/2026.\n\nAccenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:\nU.S. Employee Benefits | Accenture\n\nRole Location Annual Salary Range\nCalifornia $94,400 to $293,800\nCleveland $87,400 to $235,000\nColorado $94,400 to $253,800\nDistrict of Columbia $100,500 to $270,300\nIllinois $87,400 to $253,800\nMaine $80,400 to $216,200\nMaryland $94,400 to $253,800\nMassachusetts $94,400 to $270,300\nMinnesota $94,400 to $253,800\nNew York $87,400 to $293,800\nNew Jersey $100,500 to $293,800\nVirginia $87,400 to $270,300\nWashington $100,500 to $270,300\nRequesting an Accommodation\nAccenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.\nIf you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.\n\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.\nFor details, view a copy of the Accenture Equal Opportunity Statement\nAccenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.\nAccenture is committed to providing veteran employment opportunities to our service men and women.\n\nOther Employment Statements\nApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.\nCandidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.\nJob candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.\nThe Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.\nCalifornia requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.\nPlease read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.","company":"Accenture","rawCompany":"accenture","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-11T16:08:41.451Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Knowledge Engineer Manager - Back-end Engineer","description":"We Are:\nAccenture is a global professional services and solutions company that helps leading organizations reinvent with digital, cloud, data, and AI capabilities, drawing on its large global workforce, industry expertise, and ecosystem partnerships to create 360° value.\nBy combining hands-on engineering with deep industry context, we help organizations build their digital core, modernize operations, unlock value from data and AI, and deliver tangible business outcomes at speed and scale.\nRole Summary:\nWe are looking for a Back-End Engineer to design, build, and operate the data infrastructure and services that power our AI-driven knowledge platform. You will work across the full back-end stack — architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on. You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph query, standing up a vector store, or shipping a production-grade REST API. Knowledge graph and semantic technology experience is central to this role, but the work extends across the broader data and service layer: ingestion, transformation, storage, retrieval, and delivery at enterprise scale.\nYou Are:\nWe are looking for a Back-End Engineer to design, build, and operate the data infrastructure and services that power our AI-driven knowledge platform. You will work across the full back-end stack — architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on. You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph query, standing up a vector store, or shipping a production-grade REST API. Knowledge graph and semantic technology experience is central to this role, but the work extends across the broader data and service layer: ingestion, transformation, storage, retrieval, and delivery at enterprise scale.\nKey Responsibilities:\nHydrate structured and semi-structured data into Knowledge Graphs by mapping source data to ontology models.\nDevelop data mapping and transformation workflows using R2RML or similar technologies.\nWrite and optimize SPARQL queries for graph loading, validation, and retrieval.\nBuild and maintain data ingestion pipelines and integrate data from enterprise systems.\nDesign and optimize relational database schemas and queries to support efficient graph hydration and ETL workflows.\nDeploy, configure, and maintain vector database infrastructure for embedding storage, indexing, and semantic retrieval at scale.\nDesign and maintain scalable graph query APIs consumed by internal application and product teams.\nPerformance-tune graph database queries, indexing strategies, and data access patterns.\nOwn containerization, deployment, and monitoring of graph services in cloud environments.\nEnsure data quality, ontology alignment, and secure handling of sensitive data (PII/PHI).\nCollaborate with ontologists, architects, and application teams to support Knowledge Graph implementations.\nPreferred Technology Stack:\nSemantic technologies: RDF, OWL, SKOS, RDFS\nQuery languages: SPARQL\nMapping technologies: R2RML, CSVW, SHACL (preferred)\nGraph databases: GraphDB, Stardog, Neo4j, Amazon Neptune\nRelational databases: PostgreSQL, MySQL, SQL Server\nVector stores: Pinecone, Weaviate, Milvus, Qdrant\nSearch: Elasticsearch / OpenSearch\nProgramming: Python, Java (preferred)\nData formats: SQL, JSON, XML, CSV\nIntegration: REST APIs, ETL tools, Apache NiFi, Airflow (preferred)\nInfrastructure: Docker, Kubernetes, Helm\nCloud: AWS Neptune, Azure Cosmos DB, GCP\nMessaging: Kafka, RabbitMQ\nVersion control: Git\nThis role is hybrid in nature and will require time in office and traveling to client locations. Travel can be between 20-80%\n\nHere's What You Need:\nMinimum 5 years experience in Knowledge Graph data hydration and ontology-based data mapping, including strong understanding of RDF, SPARQL, and semantic technologies.\nMinimum 5 years experience with R2RML or similar mapping frameworks for transforming relational data into graph models.\nMinimum 5 years experience with graph databases (e.g., StarDog, GraphWise, Neo4J), along with Elasticsearch/OpenSearch. including strong SQL proficiency.\nMinimum 5 years hands-on experience with relational databases (e.g., PostgreSQL, MySQL, or SQL Server), including schema design, indexing, and query optimization.\nMinimum 5 years experience deploying and operating vector databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) in production environments.\nMinimum 5 years Proficiency in Python or Java for automation, integration, and service development and experience designing and documenting REST APIs for internal consumers.\nBachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience\nBonus Points if You Have:\nFamiliarity with containerization tools (Docker, Kubernetes).\nKnowledge of data ingestion pipelines, ETL/integration, and enterprise system integration.\nUnderstanding of PII/PHI handling, data anonymization, and data governance.\nDesign and build user-facing applications and dashboards that surface Knowledge Graph data to end users.\nDevelop and maintain REST and GraphQL APIs bridging graph backends and frontend clients.\nExperience with graph visualization libraries (D3.js, Cytoscape.js).\nFamiliarity with a BFF (Backend for Frontend) or API gateway pattern.\nExperience with AI agent-driven pipelines or RAG architectures.\nUnderstanding of Federated Knowledge Graph architectures.\nExperience working across Development, Test, UAT, and Production environments.\nCloud platform experience (AWS Neptune, Azure Cosmos DB, or GCP).\nExperience with event-driven architectures and message queuing (Kafka, RabbitMQ).\nFamiliarity with infrastructure-as-code tools (Terraform, Helm).\nExperience with database replication, partitioning, and high-availability patterns for relational systems.\nFamiliarity with vector embedding pipelines and strategies for chunking, re-ranking, and retrieval optimization.\n\nCompensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.\nWe anticipate this job posting will be posted until 09/30/2026.\n\nAccenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:\nU.S. Employee Benefits | Accenture\n\nRole Location Annual Salary Range\nCalifornia $94,400 to $293,800\nCleveland $87,400 to $235,000\nColorado $94,400 to $253,800\nDistrict of Columbia $100,500 to $270,300\nIllinois $87,400 to $253,800\nMaine $80,400 to $216,200\nMaryland $94,400 to $253,800\nMassachusetts $94,400 to $270,300\nMinnesota $94,400 to $253,800\nNew York $87,400 to $293,800\nNew Jersey $100,500 to $293,800\nVirginia $87,400 to $270,300\nWashington $100,500 to $270,300\nRequesting an Accommodation\nAccenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.\nIf you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.\n\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.\nFor details, view a copy of the Accenture Equal Opportunity Statement\nAccenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.\nAccenture is committed to providing veteran employment opportunities to our service men and women.\n\nOther Employment Statements\nApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.\nCandidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.\nJob candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.\nThe Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.\nCalifornia requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.\nPlease read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.","datePosted":"2026-08-11T16:08:41.451Z","dateModified":"2026-08-11T16:08:41.451Z","hiringOrganization":{"@type":"Organization","name":"Accenture","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fddac81cd6fa9f8607474a08"},"url":"https://jobsearcher.com/jobs/fddac81cd6fa9f8607474a08"}}