Lead Semantic Data Engineer

About the role

Our company is seeking a lead semantic data engineer to architect, build, and scale enterprise‑grade knowledge graph solutions that power advanced analytics and decision‑making in pharmaceutical research. This role will lead the design of semantic data layers that integrate heterogeneous scientific datasets, enabling end‑to‑end traceability, cross‑domain insights, and AI/ML‑driven discovery.

Key responsibilities

• Design and implement scalable knowledge graph architectures to integrate multi‑modal data (e.g., omics, process, analytical, lineage).
• Build and manage graph data models representing entities such as samples, processes, assays, targets, and biological relationships.
• Drive adoption of graph technologies (e.g., RDF, property graphs, SPARQL/Cypher).
• Partner with platform teams to implement scalable infrastructure (e.g., Amazon Neptune, serverless pipelines).
• Ensure performance, scalability, and governance of knowledge graph platforms.
• Collaborate with product managers, scientists, data engineers, and AI/ML teams to translate business needs into semantic models.
• Define and execute the knowledge graph roadmap aligned with enterprise data product strategy.
• Mentor engineers and establish best practices in ontology development, modeling, and graph engineering.
• Drive adoption of knowledge graph capabilities across use cases and programs.

Required profile

• Experience with semantic web technology stack (RDF, SPARQL).
• Proficiency in Amazon Web Services, especially serverless services such as Lambda and Step Functions.
• Data‑engineering background (SQL queries, ETL jobs).
• Strong programming skills in Python.
• Familiarity with DevSecOps practices: CI/CD, Git, infrastructure‑as‑code (CloudFormation, Terraform), Docker.

Required skills

• AWS (Amazon Web Services)
• Python
• RDF (Resource Description Framework)
• SPARQL
• Graph databases
• SQL
• Terraform
• CloudFormation
• Docker
• CI/CD
• Git
• Atlassian JIRA
• Machine Learning
• Chemical informatics
• Data engineering

What we offer

• Exciting work in a great team, global projects, international environment.
• Opportunity to learn and grow professionally within the company globally.
• Pension and health (Canadian Medical) contributions.
• Internal reward system plus referral program.
• 5 weeks annual leave, additional sick days, paid volunteering hours and parental contribution.
• Cafeteria for tax‑free benefits, Multisport card, and discount programs.
• Up‑to‑date laptop and iPhone, parking, showers and refreshments.
• Competitive salary, incentive pay and many more benefits.