Responsibilities
- Develop and maintain metadata extraction pipelines from Collibra using API, bulk export, delta detection, and event-triggered ingestion.
- Transform Collibra metadata into the program graph data model, resolve entity references, address data quality anomalies, and produce Neptune-ready serializations.
- Execute Amazon Neptune bulk loads, streaming upserts, and incremental refreshes while validating graph integrity and maintaining load logs.
- Build and test AI agent tools, prompt templates, graph query generation, retrieval chains, and response synthesis modules.
- Implement hybrid vector-graph retrieval using embedding models, vector stores, and Neptune graph queries.
- Write unit and integration tests, contribute to CI/CD configuration and maintenance, and provide operational support.
- Collaborate with Business Analysts to translate use cases into engineering deliverables and maintain technical documentation.
- Monitor deployed pipelines and agents, investigate anomalies, support root-cause analysis, and prepare stakeholder demonstrations and validation scenarios.
Requirements
- At least 5 years of experience is stated as the minimum requirement; the qualifications section specifies 6 years of hands-on experience in data engineering or AI and machine learning engineering.
- Experience with at least one graph database, such as Amazon Neptune or Neo4j, including data modeling and query writing; production exposure is preferred.
- Practical experience with Collibra or a comparable enterprise data catalog and programmatic API-based interaction.
- Experience building or contributing to LLM-based applications, RAG pipelines, agent frameworks, or tool-calling systems using LangChain, CrewAI, LangGraph, or equivalent.
- Strong Python engineering skills and the ability to write clean, testable, peer-reviewable code.
- Functional working knowledge of Gremlin or SPARQL and familiarity with AWS fundamentals including S3, Lambda, Glue, and introductory Neptune or OpenSearch exposure.
- Exposure to healthcare or life sciences data environments and genuine interest in the domain.
- Desirable qualifications include ontology concepts such as OWL, SKOS, RDF, embedding models and vector stores, Collibra glossary/lineage/data quality modules, data governance, and Business Analyst-led agile delivery.
Categories
About Accenture
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com. This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to: - Use common courtesy and be respectful of others. - Create your own original content and avoid content that you know to be fraudulent. - Never repost someone else's copyrighted work, unless you have permission. - Never post personal, identifying, or confidential information. We reserve the right to delete comments or posts we deem to be: - Profane, obscene, inappropriate, offensive, abusive material. - Spam, repeated comments and commercial messages and personal advertisements. - Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability. - Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization. - False, inaccurate, libelous, or otherwise misleading in any way.