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Valtech

Lead Data Engineer

Valtech

Lead Data Engineer shaping high-value data architectures for Valtech's data platform. Delivering client-focused solutions in data analytics and AI-based systems.

Posted 7/6/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$110,000 - CA$150,000 per yearWebsite

About the role

Key responsibilities & impact
  • Lead the most complex and high-impact data architecture initiatives across clients, business areas, domains, platforms, or strategic programs.
  • Define data architecture strategies that connect business goals, domain structures, semantic logic, platform realities, governance expectations, and downstream consumption needs.
  • Serve as a senior advisor to internal and client stakeholders on architecture maturity, semantic structure, governance direction, platform-aligned design, and long-term maintainability.
  • Establish and refine best practices for conceptual, logical, and physical data modeling, business entity design, semantic consistency, metric and dimension alignment, metadata expectations, domain boundaries, and reusable architecture patterns.
  • Guide the design of scalable semantic structures, business concept frameworks, taxonomy and ontology-informed models, governed access patterns, and reference architectures that improve trust and downstream usability.
  • Translate ambiguous executive and stakeholder questions into clear architecture approaches, semantic frameworks, platform strategies, governance-aligned design patterns, and business-relevant recommendations.
  • Lead architecture reviews and design authority discussions to identify risks, resolve ambiguity, strengthen standards alignment, and improve long-term structural quality.
  • Assess and shape how architecture choices support reporting, analytics, data products, machine learning, AI workflows, retrieval patterns, and agentic systems across structured, semi-structured, and selected unstructured data use cases.
  • Provide governance direction through standards, design reviews, architecture guardrails, and decision frameworks while keeping hands-on governance execution lighter than framework and review ownership.
  • Synthesize architecture tradeoffs, semantic implications, platform constraints, and governance considerations into clear insights, strategic implications, and recommended actions.
  • Influence cross-functional teams across DEPA, DSAI, and AIO to improve how data platforms, governed data products, semantic layers, analytics, and AI workflows work together.
  • Review major architecture deliverables to ensure quality, clarity, consistency, rigor, and practical business value.
  • Contribute to thought leadership, growth initiatives, proposal strategy, solution shaping, and new business efforts where senior architecture expertise is required.
  • Help create, improve, and promote reusable frameworks, templates, standards, semantic models, reference architectures, design review patterns, and accelerators that strengthen delivery consistency across the practice.
  • Mentor senior practitioners and help define what excellent data architecture practice looks like across the organization.
  • Reinforce strong governance, privacy, security, and data-quality expectations across engagements and teams.

Requirements

What you’ll need
  • Deep expertise in data architecture, enterprise data platform concepts, and conceptual, logical, and physical data modeling.
  • Strong ability to shape data architecture approaches in complex, ambiguous, and high-visibility business environments.
  • Expert ability to connect business context, semantic structure, governance direction, platform realities, and downstream analytical and AI needs in a way that is clear, credible, and actionable.
  • Strong command of business entities, dimensions, metrics, domains, lineage, metadata, semantic consistency, governed access concepts, and reusable reference patterns.
  • Strong understanding of semantic layers, business concept alignment, taxonomy and ontology-informed design, and domain-oriented architecture thinking.
  • Strong awareness of how architecture choices support reporting, analytics, data science, machine learning, AI workflows, retrieval patterns, and agentic systems.
  • Strong analytical and problem-solving skills across model complexity, semantic ambiguity, governance tradeoffs, platform decisions, and downstream usability concerns.
  • Ability to provide design authority and architectural clarity without needing direct ownership of every implementation detail.
  • Advanced stakeholder advisory skills, including executive communication and the ability to influence senior audiences.
  • Ability to elevate quality and consistency across multiple teams without direct authority.
  • Strong written and verbal communication skills in English, including workshop facilitation, executive presentation, and strategic advisory communication.
  • Ability to collaborate effectively across distributed teams in the Americas and across multiple disciplines.

Benefits

Comp & perks
  • A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage.
  • Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program.
  • A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech.
  • A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service.
  • Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year.
  • Personal Technology Reimbursement – $30/month for every employee-offered on day 1.
  • We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Data ArchitectureData ModelingSemantic ConsistencyBusiness Entity DesignMetadata ManagementAnalytics SupportMachine Learning IntegrationAI Workflow DesignTaxonomy And Ontology DesignGoverned Access Patterns
Soft Skills
Analytical Problem-SolvingExecutive CommunicationCollaboration Across TeamsWorkshop FacilitationInfluencing Senior Audiences