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Confiar Services

Data Architect

Toronto, ON, Canada

$65 to $70 CAD / hour · Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Pay: $65 to $70 CAD / hour
Job type: Contract
Apply by: Nov 29, 2026
Experience: 8+ years of experience in data architecture / data engineering, with strong Azure experience.
Posted: Oct 30, 2026

Original job description

Azure Data Architect

Location: Toronto, ON – Hybrid (2 days onsite/week)

Employment Type: Contract

Job Summary:

We are seeking an experienced Azure Data Architect to design and lead secure, scalable enterprise data solutions on Azure. The ideal candidate will have strong expertise in Azure Databricks, Delta Lake, ADLS Gen2, Kafka, and Terraform, with experience architecting modern data platforms and guiding engineering teams.

Key Responsibilities:

Design scalable Azure Databricks Lakehouse architectures using Delta Lake and modern data layers.
Architect ADLS Gen2 storage structures, security, access controls, and lifecycle management.
Design Kafka-based real-time streaming solutions and integrate Kafka with Databricks and ADLS.
Develop and manage Azure infrastructure using Terraform/IaC and reusable modules.
Define standards for data security, governance, quality, observability, and platform reliability.
Review technical designs and provide architectural guidance to engineering teams.
Collaborate with data engineering, cloud, security, and business teams to deliver enterprise data solutions.

Required Skills:

8+ years of experience in data architecture / data engineering, with strong Azure experience.
Strong hands-on expertise in Azure Databricks, Delta Lake, and ADLS Gen2.
Proven experience designing Kafka streaming architectures and real-time data pipelines.
Strong Terraform / Infrastructure-as-Code experience.
Experience with Azure security, data governance, data quality, and enterprise architecture.
Ability to lead technical design discussions and guide implementation teams.
Financial services / banking experience is preferred.

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More about this job

Responsibilities

Design and lead secure, scalable Azure Lakehouse and real-time streaming solutions using Databricks, Delta Lake, ADLS Gen2, and Kafka. Establish platform standards and infrastructure with Terraform, review technical designs, and guide engineering teams in collaboration with business, cloud, security, and data stakeholders.

Requirements

Requires 8+ years of data architecture or data engineering experience, strong Azure expertise, and hands-on experience with Databricks, Delta Lake, ADLS Gen2, Kafka streaming, and Terraform. Candidates should also have experience with security, governance, data quality, enterprise architecture, and technical leadership; financial services or banking experience is preferred.

Skills

Azure Databricks
Delta Lake
ADLS Gen2
Kafka
Terraform
Data Architecture
Data Engineering
Azure
Lakehouse Architecture
Real-Time Streaming
Infrastructure as Code
Data Security
Data Governance
Data Quality
Enterprise Architecture
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Azure
Azure Databricks
Delta Lake
ADLS Gen2
Kafka
Terraform
Infrastructure as Code
Lakehouse
Data Architecture
Data Engineering
Real-Time Data Pipelines
Streaming Architecture
Data Security
Access Controls
Data Governance
Data Quality
Observability
Platform Reliability
Enterprise Architecture
Lifecycle Management
Reusable Modules
Technical Design
Engineering Teams
Financial Services
Banking

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