Data Architect

1 week ago

Mississauga, Ontario, Canada York Digital Consulting Inc. Full time $120,000 - $180,000 per year

Title: Data Architect

Location: Mississauga, ON (hybrid)

Duration: 6+ Months

Domain: Retail

About the Role

The team is expanding its enterprise data platform and looking for a
Data Architect
experienced in building and scaling Azure Databricks-based solutions. This role will drive architectural design, governance, and future-proofing of the data ecosystem to support advanced analytics and AI initiatives across the organization.

Key Responsibilities

  • Architect and evolve data platform on
    Azure Databricks
    , ensuring scalability, performance, and alignment with enterprise standards
  • Design and implement
    data ingestion frameworks
    that handle large-scale, complex data sources efficiently
  • Lead
    data governance initiatives
    , including
    metadata management, data lifecycle management, data modeling, data quality, and privacy
  • Implement and manage
    Unity Catalog
    for access control, security, and governance
  • Enhance and maintain the
    enterprise data model
    , preferably with a
    retail data model
    background
  • Define and rationalize
    solution design work packages and OOM estimates
    for stakeholders
  • Present technical solutions to executive and architecture review forums
  • Collaborate with
    Microsoft and Databricks customer success teams
    to ensure platform solutions are scalable and aligned with future product roadmaps
  • Provide guidance on data integration from
    SAP
    and other enterprise systems
  • Contribute to innovation efforts involving
    machine learning or generative AI
    where applicable

Required Skills & Experience

  • Proven experience
    architecting data platforms on Azure Databricks
  • Deep knowledge of
    data governance frameworks,
    metadata management, and lifecycle management
  • Hands-on experience with
    Unity Catalog, Azure Data Services,
    and
    data modeling best practices
  • Solid understanding of
    data ingestion patterns, ETL/ELT pipelines
    , and cloud data integration tools
  • Strong presentation and stakeholder communication skills
  • Experience collaborating with cloud vendor teams (Microsoft, Databricks)
  • Exposure to
    SAP data acquisition
    and
    retail data models
    is an asset
  • Familiarity with
    machine learning or Gen AI
    concepts is a plus

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