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Confiar Services

Azure data architect

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 5, 2026
Experience: 8+ years of experience in data architecture / data engineering, with strong Azure experience.
Posting language: English
Posted: Nov 5, 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.

Core Technologies:

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More about this job

Responsibilities

Design secure, scalable Azure Lakehouse architectures using Databricks, Delta Lake, ADLS Gen2, and Kafka, and manage Azure infrastructure with Terraform. Establish standards for security, governance, quality, observability, and reliability while reviewing designs and guiding engineering teams across business and technical groups.

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

Visa sponsorship

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Keywords

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

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