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Data Architect

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Valtech

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Location:
Canada

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

180000.00 - 250000.00 CAD / Year
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Job Description:

We are seeking a Principal‑level Data Architect with deep expertise in enterprise data architecture, AI enablement, and cloud‑native development paradigms. This role goes beyond hands‑on engineering—requiring a leader who can define platform strategy, security posture, influence senior clients, and guide teams across multiple concurrent programs.

Job Responsibility:

  • Design and own complex, enterprise-scale data architectures across MS Fabric, Azure, GCP, AWS, or Databricks serverless or hosted environments
  • Define and enforce architectural standards, patterns, and governance frameworks across ingestion, modeling, lineage, security, and orchestration
  • Shape AI‑enabled architecture approaches, including data foundations for ML, feature engineering, and low-latency operationalization pipelines
  • Act as a principal advisor to client technical leadership, helping shape long-term strategy, roadmaps, and modernization initiatives
  • Lead architectural direction during pre-sales cycles, including solutioning, scoping, estimation, and executive-level presentations
  • Anticipate downstream impacts of architectural decisions
  • maintain ownership when delivery teams or constraints require deviation from the original design
  • Architect highly available, distributed, fault‑tolerant data pipelines supporting batch and streaming workloads
  • Oversee migration and integration of complex, diverse data sources into Fabric, Azure, GCP, or Databricks platforms
  • Define medallion/lakehouse modeling patterns across Bronze/Silver/Gold zones or cloud equivalents
  • Set enterprise standards for ingestion → transformation → serving layers across multi-cloud environments
  • Optimize performance of large-scale data processing across Spark, Databricks, and Fabric-native engines
  • Provide leadership across 2–3 concurrent projects with variable allocation, ensuring architectural consistency and delivery quality while also contributing to in-depth technical work where needed
  • Develop advanced transformations, pipelines, and frameworks using SQL, Python, dbt, and Fabric/Databricks cloud-native tooling
  • Implement automation using REST APIs, Data Factory, orchestration services, and multi-cloud workflow tools
  • Guide engineers on distributed architecture, metadata design, data quality frameworks, and platform hygiene
  • Conduct root cause analysis on complex platform or performance issues, driving permanent and scalable remediation
  • Serve as the senior-most technical voice in architecture reviews, solution design, and cross-functional planning
  • Lead strategic conversations with director-level and executive stakeholders
  • Translate complex architecture into clear business implications for non-technical audiences
  • Mentor engineering teams, Tech Archs, PMs, and junior architects, helping build organizational capability
  • Represent architecture during pre-sales conversations, capability pitches, and proposal cycles

Requirements:

  • 10+ years of experience in data engineering, data architecture, or platform engineering
  • Experience designing or building enterprise data platforms on at least one of Azure, GCP, or AWS and Databricks
  • Deep expertise in SQL, Python, distributed data processing, and cloud-native data design
  • Significant experience with medallion/lakehouse architecture patterns
  • Strong knowledge of modern data platforms: Databricks, Azure Synapse, Microsoft Fabric, Delta Lake, BigQuery, etc.
  • Proven experience leading architecture across large programs and multiple concurrent projects
  • Experience with enterprise automation and integration using REST APIs
  • Strong communication skills and ability to engage confidently with senior leadership and clients
  • Experience in pre-sales, technical solutioning, or client-facing architecture leadership

Nice to have:

  • Experience building AI‑enabled data architectures and ML data pipelines
  • Familiarity with Tableau, Power BI, and Fabric reporting tools
  • Demonstrated experience defining and operationalizing DevOps best practices
  • Experience with Spark, Hive, Impala, and other big data frameworks
  • Knowledge of multi-cloud architecture components (Azure, GCP, AWS)
  • Experience with pipeline automation tooling such as Airflow, Azure Data Factory, Prefect
  • Experience leading technical teams and managing data/analytics/ML projects
  • Familiarity with front- and back‑end application stacks and API design (REST/GraphQL)
What we offer:
  • 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

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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