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Full-time
bachelor degree
Posted 9d ago
~40 hrs/week
Responsibilities
Architect and implement end-to-end data pipelines for ingestion, transformation, and retrieval within production RAG systems. Collaborate with AI engineers to define knowledge-engineering standards and optimize retrieval quality, latency, and scalability.
Requirements
Requires a minimum of 5 years of experience in data engineering and a full-time educational background of 15 years. Candidates must have proven experience building and operating production-grade data, search, or knowledge retrieval platforms.
Full job description
Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Data Engineering Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education
Summary: Design and build enterprise knowledge foundations that enable accurate, governed, and context-aware AI and agentic systems. Advanced proficiency with Databricks Assistant, GitHub Copilot or Cursor, alongside LlamaIndex, LangChain, Neo4j, Pinecone, Weaviate, Elasticsearch/OpenSearch and cloud vector-search services, to accelerate governed ingestion, knowledge-graph and production RAG engineering. Must have built and operated production data, search, knowledge, or retrieval platforms. Experience limited to basic vector-database prototypes is insufficient.
Roles & Responsibilities: - Architect ingestion, transformation, indexing, retrieval, and knowledge-enrichment pipelines. - Build production RAG systems using structured, unstructured, graph, and metadata-driven retrieval. - Define document parsing, chunking, taxonomy, ontology, entity resolution, and lineage strategies. - Implement access-aware retrieval, freshness controls, quality checks, and auditability. - Optimize retrieval quality, latency, scale, and cost. - Partner with AI engineers on context construction and grounding. - Mentor engineers and define reusable knowledge-engineering standards.
Professional & Technical Skills: - Python, SQL, distributed processing, and orchestration. - Vector search, hybrid retrieval, knowledge graphs, metadata, and semantic modeling. - Document pipelines, search, data quality, lineage, and access control. - Cloud, APIs, CI/CD, observability, and performance engineering.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
We 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, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Related keywords
Data Platform EngineerData EngineeringDatabricksGitHub CopilotCursorLlamaIndexLangChainNeo4jPineconeWeaviateElasticsearchOpenSearchVector-searchRAGPythonSQL
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.
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