
Posted 21 hours ago
Lead Data Engineer
ValtechLead Data Engineer
Perks & benefits
CommissionHealth InsurancePaid Leave
Requirements
Deep expertise in data architecture, Enterprise data platform concepts, Conceptual, logical, and physical data modeling, Advanced stakeholder advisory skills, Strong English communication skills, Experience in complex business environments
Skills
SQLPythonSparkDatabricksAzureGoogle Cloud
About the role
Responsibilities
- Lead complex and high-impact data architecture initiatives across diverse client domains and platforms
- Define data architecture strategies connecting business goals, semantic logic, and platform realities
- Serve as a senior advisor to stakeholders on architecture maturity, governance, and long-term maintainability
- Establish best practices for conceptual, logical, and physical data modeling and business entity design
- Guide the design of scalable semantic structures, taxonomies, and reference architectures
- Translate ambiguous executive requirements into clear architectural frameworks and strategic recommendations
- Lead architecture reviews to identify risks, resolve ambiguity, and strengthen standards alignment
- Assess how architecture choices support AI workflows, machine learning, and agentic systems
- Mentor senior practitioners and contribute to organizational thought leadership and practice development
Requirements
- Deep expertise in data architecture and enterprise data platform concepts
- Proven experience in conceptual, logical, and physical data modeling
- Ability to shape architecture in complex, ambiguous, and high-visibility business environments
- Advanced stakeholder advisory skills with the ability to influence senior executive audiences
- Strong command of business entities, dimensions, metrics, lineage, and metadata
- Strong understanding of semantic layers and domain-oriented architecture thinking
- Excellent written and verbal communication skills in English
- Experience collaborating effectively across distributed, multi-disciplinary teams
Preferred Qualifications
- Experience with taxonomy, ontology, and knowledge-modeling approaches
- Exposure to governance solutions such as Unity Catalog or Collibra
- Working knowledge of SQL, dbt, Python, Spark, or modern data engineering practices
- Databricks, Azure, or Google Cloud certifications
- Experience defining AI-ready or agentic-ready enterprise architectures
Benefits
- Comprehensive insurance plan (Gold, Silver, or Bronze options) including disability coverage
- Virtual healthcare services via Dialogue and mental health support programs
- $500 Personal Spending Account for healthcare, wellness, or professional needs
- Retirement plan with 100% RRSP matching up to 4% via DPSP
- Flexible vacation policy and closed winter holidays
- Monthly personal technology reimbursement
About the Company
Valtech is the experience innovation company that helps leading global brands unlock value through data, AI, technology, and experience transformation. We blend crafts, categories, and cultures to drive digital transformation for organizations like L’Oréal, Mars, and Audi.
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Valtech · Montreal
