Lead Azure Databricks Developer

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

Job summary

A leading tech solutions provider is seeking a Databricks Developer in Toronto, ON, to design and optimize scalable data engineering solutions on the Azure cloud platform. You will work on building ETL pipelines and collaborating with teams to ensure secure and efficient data processing. Candidates should have extensive experience in Azure Databricks, data modeling, and CI/CD practices. A Bachelor's degree in Computer Science or IT is required, along with at least 5 years in the field. This role offers a competitive salary and a hybrid work arrangement.

Benefits

Comprehensive medical, dental, and vision coverage

Registered Retirement Savings Plan (RRSP)

Paid time off and wellness days

Life insurance and disability coverage

Professional development support

Flexible hybrid work arrangement

Qualifications

• 5+ years of data engineering experience, especially with Azure-based platforms.
• Hands-on expertise in Azure Databricks, Azure Data Factory, and data architectures.
• Strong understanding of Azure infrastructure and security concepts.

Responsibilities

• Design and maintain scalable ETL/ELT pipelines using Azure tools.
• Implement CI/CD processes with Git and Jenkins.
• Manage data storage solutions using Azure Data Lake and Delta Lake.

Skills

Azure Databricks

Azure Data Factory

Python

PySpark

T-SQL

Data modeling

Git

Jenkins

Terraform

Education

Bachelor’s degree in Computer Science, Information Technology, or a related field

Master’s degree

Tools

Azure Synapse Analytics

Azure Data Lake Storage

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