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Data Solution Architect

  • Toronto, ON, Canada

Contract

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Job details

Job type
Contract
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Experience
Experience: 15+ years in IT/Data with at least 5+ years focused on enterprise data architecture, cloud analytics, and distributed data systems.
Posting language
English
Posted

Original job description

Toronto on site 4 days a week at Air Canada office

Max Rate is $120

Max INC: $100/hr

Length: Until July 2, 2027 with potential to extend

Role Overview: We are looking for an experienced Data Solution Architect to lead the design, build, and scaling of our modern data platform and data products. In this role, you will bridge the gap between business strategy and technical execution. You will design robust, secure, and high-performance data products leveraging Microsoft Azure, Databricks (Lakehouse/Unity Catalog), and Snowflake. You will collaborate with data engineers, data analysts, product managers, and executive stakeholders to drive our data-driven transformation.

Key Responsibilities:

  • Architecture and Design: Design end-to-end, scalable data architectures and reusable data products using Azure cloud services, Azure Databricks, and Snowflake Data Cloud.
  • Data Product Lifecycle: Own the technical roadmap for data products from conception, design, and proof-of-concept (PoC) to production deployment and consumption.
  • Ecosystem Integration: Integrate Databricks and Snowflake seamlessly within the Azure ecosystem.
  • Data Governance and Security: Implement enterprise-grade security, data privacy, and governance frameworks (utilizing Databricks Unity Catalog and Snowflake governance features).
  • Performance and Cost Optimization: Monitor, troubleshoot, and optimize data pipelines, cluster sizing, and query performance across both Databricks and Snowflake to ensure cost-efficiency.
  • Collaboration and Leadership: Mentor engineering teams, define technical standards, conduct design reviews, and translate complex business requirements into clear architectural blueprints.

Required Qualifications and Skills:

  • Experience: 15+ years in IT/Data with at least 5+ years focused on enterprise data architecture, cloud analytics, and distributed data systems.
  • Cloud Expertise (Azure): Deep knowledge of Microsoft Azure data services, storage accounts (ADLS Gen2), networking, and security/IAM models.
  • Databricks Proficiency: Strong hands-on experience with Azure Databricks, Apache Spark, Delta Lake, and Unity Catalog.
  • Snowflake Proficiency: Proven expertise in Snowflake data warehousing, multi-cluster warehouses, data sharing, Snowpipe, and performance tuning.
  • Core Languages and Tools: Fluency in Python, SQL, Snowflake DBT along with CI/CD pipeline management (Git, Azure DevOps/GitHub Actions).
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More about this job

Responsibilities

Design and scale secure, high-performance data architectures and data products using Azure, Databricks, and Snowflake, owning their technical roadmap from concept through production. Integrate and optimize the data ecosystem, establish governance and security practices, and mentor teams while translating business needs into architectural designs.

Requirements

Requires 15+ years of IT or data experience, including at least five years focused on enterprise data architecture, cloud analytics, and distributed data systems. Candidates need deep Azure expertise and hands-on experience with Databricks, Spark, Delta Lake, Unity Catalog, Snowflake, Python, SQL, DBT, and CI/CD tools.

Skills

  • Azure Data Architecture
  • Azure Databricks
  • Apache Spark
  • Delta Lake
  • Unity Catalog
  • Snowflake
  • Python
  • SQL
  • DBT
  • Data Product Architecture
  • Data Governance
  • Data Security
  • Performance Optimization
  • Cost Optimization
  • CI/CD
  • Azure DevOps

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Management & Leadership

Keywords

  • Microsoft Azure
  • Azure Data Services
  • ADLS Gen2
  • Azure Databricks
  • Apache Spark
  • Delta Lake
  • Unity Catalog
  • Snowflake Data Cloud
  • Snowflake Data Warehousing
  • Multi-Cluster Warehouses
  • Data Sharing
  • Snowpipe
  • Python
  • SQL
  • DBT
  • Git
  • Azure DevOps
  • GitHub Actions
  • CI/CD
  • Enterprise Data Architecture
  • Cloud Analytics
  • Distributed Data Systems
  • Data Products
  • Data Governance
  • Data Privacy
  • Security and IAM
  • Data Pipelines
  • Performance Tuning
  • Cost Optimization
  • Lakehouse

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