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Senior Data Architect

  • Toronto, ON, Canada

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Original job description

Role: Data Architect

Location: Downtown Toronto, Canada

Hybrid: (3 days office, 2 days remote)

Job Summary

We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale migration from Google BigQuery/GCP to Azure Databricks. The Data Architect will be responsible for defining the target-state architecture, developing the migration strategy, implementing data governance, and executing the Lakehouse architecture for a strategic data transformation program.

Responsibilities

  • Define the Azure Databricks Lakehouse architecture and create a comprehensive migration roadmap.
  • Design and implement Medallion Architecture (Bronze, Silver, Gold) and Delta Lake solutions.
  • Lead the architecture for the BigQuery-to-Databricks migration, including source-to-target mapping.
  • Establish governance, security, and data management standards utilizing Unity Catalog.
  • Architect scalable data models, ingestion frameworks, and analytics platforms to support business needs.
  • Collaborate with business, engineering, and program teams to deliver cloud modernization initiatives effectively.

Mandatory Skills

  • Expertise in Azure Databricks, including Delta Lake and Lakehouse Architecture.
  • Proficient in PySpark and SQL.
  • Strong background in Data Modeling (Dimensional/Data Vault), Data Migration, and Modernization.
  • Experience with Azure Data Factory and ADLS Gen2.
  • Familiarity with CI/CD processes and Azure DevOps.
  • Proven experience in delivering large-scale cloud data migration programs.

Preferred Skills

  • Experience with BigQuery migration.
  • Financial Services industry experience is preferred.

Qualifications

  • 15+ years of experience in Data & Analytics.
  • 5+ years of experience in Data Architecture.
  • Preferred certifications include:
  • Microsoft Azure Solutions Architect Expert
  • Databricks Certified Professional
  • TOGAF
More about this job

Responsibilities

Define the Azure Databricks Lakehouse target architecture and migration roadmap, and lead the BigQuery-to-Databricks migration, including source-to-target mapping. Establish data governance, security, and management standards while designing scalable data models, ingestion frameworks, and analytics platforms for the transformation program.

Requirements

Requires 15+ years of experience in Data & Analytics and 5+ years in Data Architecture, with expertise in Azure Databricks, Delta Lake, PySpark, SQL, data modeling, and large-scale data migration. Experience with Azure Data Factory, ADLS Gen2, CI/CD, and Azure DevOps is required; BigQuery migration and financial services experience are preferred, along with relevant architecture or Databricks certifications.

Skills

  • Azure Databricks
  • Delta Lake
  • Lakehouse Architecture
  • PySpark
  • SQL
  • Data Modeling
  • Data Migration
  • Cloud Modernization
  • Azure Data Factory
  • ADLS Gen2
  • CI/CD
  • Azure DevOps
  • BigQuery
  • Unity Catalog
  • Data Governance
  • Medallion Architecture

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Management & Leadership
  • Consulting

Keywords

  • Azure Databricks
  • Delta Lake
  • Lakehouse Architecture
  • Medallion Architecture
  • Bronze-Silver-Gold
  • BigQuery
  • Google Cloud Platform
  • Azure
  • PySpark
  • SQL
  • Data Modeling
  • Dimensional Modeling
  • Data Vault
  • Data Migration
  • Cloud Modernization
  • Azure Data Factory
  • ADLS Gen2
  • Unity Catalog
  • Data Governance
  • Data Security
  • Data Management
  • CI/CD
  • Azure DevOps
  • Databricks Certified Professional
  • TOGAF
  • Financial Services
  • Enterprise Data Platforms

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