USI | FY26 | Audit Services | Graph DB Engineer - Senior Consultant

Summary Position Summary Jobtitle: Graph DB Engineer– Sr. Consultant

About AtDeloitte,wedonotofferyoujustajob,but acareerinthehighlysought-afterriskmanagementfield. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous,trustworthy,andsafe.Deloitte’sclients,primarilybasedoutsideofIndia,arelarge,complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security.

Byjoiningus,youwillgettoworkwithdiverseteamsofprofessionalswhodesign,manage , implement & support risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas.

Our Audit & Assurance services professionals help organizations effectively navigate business risks and opportunities—from strategic, reputation, and financial risks to operational, cyber, and regulatory risks—togain competitiveadvantage. We apply our experiencein ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teamshelpclientsembracecomplexitytoaccelerateperformance,disruptthroughinnovation,andleadin their industries. We use cutting-edge technology like AI/ML techniques, analytics, and Robotic Process Automation (RPA) to solve Deloitte’s clients ‘most complex issues. Working in Audit & Assurance at Deloitte US-India offices has the power to redefine your ambitions.

The Team InternalAudit As part of Digital Internal Audit team, you will be part of our USI Internal Audit practice and will be responsibleforscalingdigitalcapabilitiesforourIAclients.Responsibilitieswillincludehelpingourclients adopt digital through various stages of their Internal Audit lifecycle, from planning till reporting.

Workyou’ll do Thekeyjobresponsibilitieswillbe to:

• Design and implement efficient and scalable graph data models and entity networks using Neo4j
• Translate business requirements into effective graph schemas and data structures.
• Develop and maintain graph database instances, including installation, configuration, and performance tuning.
• Implement data ingestion and transformation pipelines to populate graph databases from various data sources.
• Develop and optimize Cypher or other graph query languages for complex data retrieval and analysis.
• Implement data security and access control mechanisms for graph databases.
• Deploy and operate Milvus (or equivalent vector store) for embedding search and hybrid retrieval
• Implement embedding ingestion pipelines for similarity and semantic search use cases
• Design/manage MongoDB repositories supporting upstream/downstream applications
• Collaborate with data scientists and analysts to develop graph-based analytics solutions.
• Ensure performance tuning, scalability, availability, and fault tolerance
• Develop and implement algorithms for graph traversals, community detection, and other graph analytics tasks.
• Implement data quality checks, monitoring, and error handling
• Establish and enforce best practices for graph database development and management.

Required Skills

• Strong understanding of graph theory concepts including nodes, edges, properties, traversals, and relationship patterns essential for effective graph database design
• Demonstrated expertise in one or more graph query languages such as Cypher (Neo4j) for complex data retrieval and manipulation
• Experience translating business requirements into optimized graph schemas, including property graphs, RDF triples, or knowledge graph ontologies
• Experience designing, deploying, and administering production graph database systems with consideration for scalability, availability, and security requirements
• Familiarity with ETL processes, API integrations, or data ingestion frameworks
• Knowledge of cloud services (AWS, Azure, GCP) and managed graph database offerings
• FamiliaritywithGenAIapplicationdesignand architecture
• Demonstrated knowledge of Retrieval-Augmented Generation (RAG) patterns and architectures (e.g., chunking, embeddings, reranking, grounding, and evaluation) to build reliable LLM applications.
• Design and implement GraphRAG (graph + vector) retrieval pipelines and optimize hybrid retrieval relevance and latency.
• Expertise inhandlinglargemulti-modaldata setsandapplyingdatapreprocessingtechniquestoensure data quality and relevance.
• Abilitytoanalyzeandinterpretcomplexdatatoderiveactionableinsightsanddrivedecision-making processes
• StrongknowledgeofprogramminglanguageslikePythonand SQL
• FamiliarwithAI/GenAIEthics&Governanceframeworks,applicationsand archetypes

Preferred Skills

• CertificationinCloud(AWS/Azure/ GCP)
• CertificationinAI/MLorData Analytics

Qualification

• B.Tech/B.E.and/or MBA

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Requisition code: 323557