Data Architect
- Toronto, ON, Canada
$65 to $70 CAD / hour · Contract
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Job details
- Pay
- $65 to $70 CAD / hour
- Job type
- Contract
- Apply by
- Experience
- 8+ years of experience in data architecture / data engineering, with strong Azure experience.
- Posting language
- English
- Posted
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.
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
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
- Finance & Accounting
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