Specialist Data Engineer

Black Rock Groups; Upper Providence (Delaware County); Hybrid; USD 140,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Vision & dental

Life insurance

Disability insurance

Paid time off

Job summary

Tech Mahindra seeks a Lead Knowledge Graph Engineer to evaluate, optimize, and scale our biomedical data infrastructure. You will bridge complex biomedical data with actionable AI, perform health checks, refine bio-ontologies, and shape the roadmap for GraphRAG and GenAI platforms.

The role requires 10+ years in graph technologies, expertise in RDF/OWL and LPG schemas, and experience aligning data to biomedical standards. Hybrid work model and comprehensive benefits are provided.

Qualifications

• 10+ years of engineering experience with Graph Databases, Triple Stores, or LPGs.
• Experience with RDF/OWL and LPG schemas for enterprise scalability.
• Experience modeling biomedical data and knowledge graphs.
• Knowledge of pharma ontologies and bio-ontologies is a plus.

Responsibilities

• Platform Assessment: health-check existing graph databases and cluster infrastructure.
• Ontology & Schema Review: evaluate RDF/OWL and LPG schemas for scalability.
• Standards Alignment: map internal data to MeSH, SNOMED, UMLS.
• Performance Optimization: optimize real-time ingestion and complex query performance.
• Strategic Roadmap: write Way Forward reports on cloud migration and build-vs-buy decisions.
• AI & LLM Integration: design architecture to connect graphs with LLMs using GraphRAG.
• Stakeholder Alignment: translate graph concepts into business value for Research & Clinical teams.

Skills

Graph Databases

Tools

Stardog

AnzoGraph

Neo4j

SPARQL

Cypher

Gremlin

Python

Java

Job description

Lead Knowledge Graph Engineer

Location : PA (Upper Providence , PA) Hybrid 12 Day / Month

Role Overview -

We are seeking a Knowledge Graph Lead Engineer to evaluate, optimize, and scale our enterprise semantic data infrastructure. In this role, you will bridge the gap between complex biomedical data and actionable AI applications. You will conduct comprehensive health checks on our current stack, refine bio-ontologies, and build the strategic roadmap for our next‑generation GraphRAG and GenAI platforms.

Key responsibilities

• Platform Assessment: Conduct comprehensive technical health checks on existing graph databases and cluster infrastructure.
• Ontology & Schema Review: Evaluate RDF/OWL and Labeled Property Graph (LPG) schemas for enterprise scalability.
• Standards Alignment: Map internal data frameworks to biomedical standards like MeSH, SNOMED, and UMLS.
• Performance Optimization: Eliminate data bottlenecks across real‑time ingestion pipelines and complex query execution.
• Strategic Roadmap: Author comprehensive "Way Forward" reports detailing cloud migration and build‑vs‑buy decisions.
• AI & LLM Integration: Design infrastructure to connect knowledge graphs with Large Language Models using GraphRAG frameworks.
• Stakeholder Alignment: Translate technical graph concepts into clear business value for Research and Clinical teams.

Skills -

• Graph Expertise: 10+ years of engineering experience with Graph Databases, Triple Stores, or Labeled Property Graphs.

Technical Stack Preferences

• Graph Databases: Stardog, AnzoGraph, or Neo4j
• Query & Programming Languages: SPARQL, Cypher, Gremlin, Python, and Java
• AI Tools: Any Vibe Coding Tool (Claude Code OR GHCP)

Pharma Domain Knowledge -

• Pharma Domain Knowledge: Proven track record handling biomedical data like gene-disease associations and chemistry structures.
• CMC Data Familiarity: Experience modeling Chemistry Manufacturing and Control data types, including product journeys and electronic data capture logs.
• Bio-Ontologies & Datasets: OBO Foundry, ChEMBL, Ensembl, and Monarch Initiative
• Advanced AI/GenAI: Hands‑on experience designing and executing Graph RAGs, Context Graphs, Agents
• Semantic Web Standards: Deep understanding of W3C standards, Linked Data principles, and URI minting strategies.

The pay range for this role is $140k - $150k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [e-mail].