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About the Role
Capco is seeking a hands-on Principal Consultant to design and build semantic data solutions that make enterprise data usable by artificial intelligence, machine learning, analytics, and business applications. This role is for a versatile technical leader who can move across knowledge-graph engineering, AI solution development, data modeling, and data-pipeline delivery, translating business requirements into practical solutions and contributing directly to architecture, code, data pipelines, testing, and production delivery.
Responsibilities
- Design and implement enterprise knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products.
- Translate business concepts, policies, documents, data models, and subject-matter expertise into governed, machine-readable knowledge models.
- Build semantic data pipelines that acquire, transform, map, validate, enrich, and load data from databases, APIs, files, documents, events, and cloud platforms.
- Integrate knowledge graphs with AI and machine-learning solutions, including generative AI, retrieval-augmented generation, GraphRAG, semantic search, and intelligent agents.
- Support NLP and document-intelligence use cases such as entity extraction, entity linking, relationship extraction, classification, natural language inference, and knowledge extraction.
- Combine graph traversal, vector search, metadata, rules, and model-generated results to improve AI accuracy, grounding, explainability, and traceability.
- Develop Python- or Java-based services, data transformations, APIs, validation routines, and integration components.
- Work with data scientists and AI engineers to prepare training, retrieval, evaluation, and inference data.
- Work with data engineers to implement batch, streaming, and API-driven pipelines using modern cloud and data platforms.
- Define semantic-data quality controls, provenance, lineage, confidence scoring, versioning, and governance processes.
- Evaluate graph databases, vector databases, data platforms, AI frameworks, and cloud services based on client requirements.
- Lead technical workshops, architecture decisions, prototypes, and production implementations.
- Mentor team members and create reusable patterns, accelerators, and reference architectures for Capco’s Graph, Semantics & AI practice.
- Support proposals, solution estimates, client presentations, and the development of new consulting offerings.
Requirements
- Eight or more years of experience in data engineering, software engineering, artificial intelligence, analytics, enterprise architecture, or a related field.
- At least four years of hands-on experience with knowledge graphs, semantic technologies, graph databases, or semantic-data integration.
- Strong knowledge of RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD, Turtle, or related standards.
- Experience with one or more graph platforms such as Stardog, Neo4j, GraphDB, Amazon Neptune, Anzo, MarkLogic, TigerGraph, Apache Jena, TypeDB, or equivalent technologies.
- Strong programming skills in Python, Java, or a comparable enterprise language.
- Experience developing data pipelines, APIs, transformations, automated tests, and production integrations.
- Working knowledge of NLP, machine learning, embeddings, vector search, semantic search, RAG, GraphRAG, or LLM-based applications.
- Experience connecting structured data with unstructured content such as policies, contracts, research, communications, or operational documents.
- Familiarity with cloud and modern data platforms such as Microsoft Azure, AWS, Google Cloud, Microsoft Fabric, Databricks, Snowflake, BigQuery, or Redshift.
- Understanding of relational, graph, document, vector, and lakehouse architectures and when to use each.
- Experience with Git, CI/CD, automated testing, containers, Agile delivery, and production-support practices.
- Ability to communicate technical concepts clearly to business stakeholders, architects, engineers, data scientists, and executives.
- Demonstrated ability to operate across multiple roles, learn new technologies quickly, and take ownership from initial discovery through production delivery.
- Financial-services or other regulated-industry experience is strongly preferred.
- Experience with data governance, metadata management, entity resolution, master data, responsible AI, model risk, or regulatory reporting is advantageous.
- Relevant cloud, data-engineering, AI/ML, Agile, or graph-technology certifications are a plus.
Skills
- Knowledge Graphs
- Semantic Technologies
- Graph Databases
- Semantic-Data Integration
- RDF
- RDFS
- OWL
- SPARQL
- SHACL
- SKOS
- JSON-LD
- Turtle
- Stardog
- Neo4j
- GraphDB
- Amazon Neptune
- Anzo
- MarkLogic
- TigerGraph
- Apache Jena
- TypeDB
- Python
- Java
- Data Pipelines
- APIs
- Transformations
- Automated Tests
- Production Integrations
- NLP
- Machine Learning
- Embeddings
- Vector Search
- Semantic Search
- RAG
- GraphRAG
- LLM
- Generative AI
- Retrieval-Augmented Generation
- Intelligent Agents
- Entity Extraction
- Entity Linking
- Relationship Extraction
- Classification
- Natural Language Inference
- Knowledge Extraction
- Graph Traversal
- Metadata
- Rules
- Microsoft Azure
- AWS
- Google Cloud
- Microsoft Fabric
- Databricks
- Snowflake
- BigQuery
- Redshift
- Relational Architectures
- Graph Architectures
- Document Architectures
- Vector Architectures
- Lakehouse Architectures
- Git
- CI/CD
- Automated Testing
- Containers
- Agile Delivery
- Production Support
- Data Governance
- Metadata Management
- Entity Resolution
- Master Data
- Responsible AI
- Model Risk
- Regulatory Reporting
Location
- New York, NY
Work Type
- Hybrid
Experience Level
- Principal
- Eight or more years of experience
- At least four years of hands-on experience
Salary/Compensations
- $146,000—$183,000 USD
Benefits
- Medical, Dental and Vision
- 401k match
- Maternity and paternity leave and dependent care
- Tuition reimbursement and wellness reimbursement
- Working Advantage (discounted marketplace), HSA, FSA, and commuter benefits
About the Company
- Capco is a global technology and management consultancy firm.
- We are committed to making our recruitment process accessible and straightforward for everyone.
- We value each person’s unique perspective and contribution.
- Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
Equal Opportunity
- We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help.
- We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.