Senior Data Engineer

Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.

We are seeking a highly skilled Senior Data Engineer with expertise in modern data platforms and semantic technologies to design and build scalable data solutions that power enterprise analytics and knowledge representation. This role combines strong data engineering fundamentals with specialized experience in graph databases, ontologies, and semantic modeling to help the organization structure and connect complex data across domains.

What You'll be Doing:

• Design, build, and maintain scalable data pipelines and lakehouse architectures using Databricks
• Implement and manage data governance, access control, and lineage using Unity Catalog
• Design and develop semantic data models to represent complex business domains and relationships
• Build and maintain knowledge graphs using RDF (Resource Description Framework) and OWL (Web Ontology Language) standards
• Design and implement graph database solutions using Neo4j to support relationship-driven data use cases
• Develop ontologies and taxonomies to enable consistent data interpretation across systems
• Translate business processes and data relationships into architecture diagrams using Visio and Miro
• Collaborate with data architects, analysts, and business stakeholders to align data models with organizational needs
• Optimize data pipelines for performance, reliability, and scalability
• Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers
• Support integration of semantic and graph-based data models with downstream analytics and AI/ML applications
• Document data architecture, pipelines, and semantic models for cross-team visibility and maintainability

What You'll Need to Be Successful:

• 6+ years of experience in data engineering, with a strong foundation in building production-grade data pipelines
• Hands-on experience with Databricks for data processing, transformation, and analytics workloads
• Experience implementing data governance and cataloging using Unity Catalog
• Practical experience with RDF and OWL for knowledge representation and ontology development
• Hands-on experience with Neo4j or other graph database technologies
• Experience designing semantic models and understanding of graph theory concepts
• Proficiency in diagramming and process mapping tools such as Visio and Miro
• Strong SQL skills and experience with Python or Scala for data engineering tasks
• Solid understanding of data modeling principles (relational, dimensional, and graph-based)
• Strong analytical and problem-solving skills, with the ability to translate complex data relationships into clear architectural designs
• Excellent communication skills, with the ability to work across technical and business teams

Preferred Qualifications:

• Experience with SPARQL query language for RDF data
• Familiarity with cloud platforms (Azure, AWS) and their data services
• Experience integrating semantic/graph data with AI, ML, or GenAI applications
• Knowledge of metadata management and enterprise data governance frameworks
• Experience working in Agile/Scrum environments

Blanc Labs is enabling a digital future. Headquartered in Toronto, we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at www.blanclabs.com.

Blanc Labs is an equal opportunity employer and is committed to providing employment in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.