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Data and Analytics Architect

Job in Gatineau, Province de Québec, Canada
Listing for: Quarry Consulting
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing
Job Description & How to Apply Below

Title :
Global Data & Analytics Architect

Location :
Remote - Toronto Ont. & Halifax nS

Duration : 6 Months

Key Responsibilities

  • Platform Architecture & Design
  • Define architecture patterns for ingestion, transformation, and serving layers
  • Establish best practices for Unity Catalog, Delta Lake, and orchestration
  • Support scalable multi-domain data product architecture
  • Data Engineering & Delivery Leadership
  • Guide pod delivery teams
  • Define development standards for pipelines, notebooks, and CI/CD
  • Drive transition to Databricks-native pipelines
  • Performance Optimization & Cost Management
  • Optimize pipelines for performance and cost
  • Monitor cost anomalies and runtime variability
  • Platform Integration & Ecosystem Alignment
  • Integrate Databricks with Azure ecosystem and Power BI
  • Support Fabric alignment and code portability
  • Data Governance & Security
  • Implement governance using Unity Catalog
  • Ensure secure and scalable access patterns
  • Engineering Standards & Capability Build
  • Define reusable frameworks and templates
  • Mentor teams and build internal capability

Stakeholder Engagement

  • Partner with architects, product managers, and domain modelers
  • Provide input into roadmap and hiring decisions

Qualifications

Required Skills & Experience

  • At least 3 years of strong experience with Databricks (Spark, Delta Lake, notebooks, pipelines)
  • Experience with Unity Catalog and governance models
  • Experience with Azure Data Lake and data transformation frameworks
  • Proven experience designing enterprise-scale data platforms
  • Experience optimizing large-scale pipelines and distributed systems
  • Leadership experience in global, matrixed environments
  • Databricks certified

Nice to Have

  • Experience with Microsoft Fabric ecosystem
  • Power BI integration experience
  • ADF or legacy ETL migration experience
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