Lead Azure Databricks Developer

Cognizant; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading technology company is seeking a Databricks Developer in Toronto to design, build, and optimize scalable data engineering solutions on Azure. The ideal candidate will have over 5 years of experience in data engineering, strong skills in Azure Databricks, and a solid understanding of data modeling and infrastructure management. This role offers a competitive salary and comprehensive benefits, including flexible hybrid work arrangements.

Benefits

Comprehensive medical, dental, and vision coverage

Registered Retirement Savings Plan (RRSP)

Paid time off and wellness days

Life insurance and disability coverage

Employee assistance programs

Professional development support

Flexible hybrid work arrangement

Qualifications

• 5+ years of data engineering experience with Azure platforms.
• Strong hands-on expertise in Azure Databricks and Data Factory.
• Experience implementing Infrastructure-as-Code using Terraform.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Implement CI/CD pipelines using Git and Jenkins.
• Collaborate with cross-functional teams for technical solutions.

Skills

Azure Databricks

Azure Data Factory

Python

PySpark

Data modeling

Terraform

CI/CD pipelines

Data governance

Education

Bachelor’s degree in Computer Science or IT

Master’s degree

Tools

Azure Synapse Analytics

Git

Jenkins

Job description

Databricks Developer

Location: Toronto, ON, Canada (Hybrid)

Job Summary

The Databricks Developer will design, build, and optimize scalable data engineering solutions on the Azure cloud platform. This role requires strong hands-on expertise in Azure Databricks, Azure Data Factory, and modern data architectures such as lakehouse and data mesh. You will collaborate with cross-functional teams to deliver secure, high-performing data pipelines that support analytics and business decision-making.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks and Azure Data Factory.
• Develop and optimize data processing workflows using Python, PySpark, and T-SQL.
• Implement and manage data storage solutions using Azure Data Lake Storage (ADLS) and Delta Lake.
• Work with Azure Synapse Analytics (Serverless, Dedicated, and Spark pools) to support analytics workloads.
• Apply data modeling techniques including SCD, data marts, lakehouse architecture, and data mesh.
• Implement CI/CD pipelines using Git, Jenkins, and DevOps best practices.
• Support and troubleshoot data pipelines and Azure infrastructure issues in production.
• Implement and manage Azure infrastructure and networking using Terraform.
• Ensure data security, privacy, and regulatory compliance.
• Collaborate with architects, analysts, and stakeholders to translate requirements into technical solutions.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s degree is a plus).
• 5+ years of data engineering experience with at least 2 years working on Azure-based data platforms.
• Hands-on experience with Azure Databricks, Azure Data Factory, ADLS, Synapse, Python, PySpark, and T-SQL.
• Strong understanding of Azure infrastructure, security (RBAC, Azure AD), and networking concepts.
• Proficiency with Git, Jenkins, and CI/CD pipelines.
• Experience implementing Infrastructure-as-Code using Terraform.
• Strong knowledge of data modeling, Delta Lake, lakehouse, and data mesh architectures.
• Understanding of data governance, privacy, and compliance best practices.

Compensation

The annual salary range for this position is CAD $100,000 – $130,000, depending on experience, skills, and location. This role may also be eligible for performance-based bonuses under applicable compensation plans.

Benefits

• Comprehensive medical, dental, and vision coverage
• Registered Retirement Savings Plan (RRSP) with company contribution
• Paid time off, statutory holidays, and wellness days
• Life insurance and short- and long-term disability coverage
• Employee assistance and wellness programs
• Learning, certification, and professional development support
• Flexible hybrid work arrangement