Senior Databricks Developer – Data Engineering & GenAI

Cognizant; Mississauga; On-site; CAD 15,000 - 173,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan

Job summary

Cognizant is hiring a Senior Databricks Developer in a Hybrid model based in Toronto, ON. You will design, develop, and maintain modern data and analytics platforms using Databricks, PySpark, Python, Delta Lake, and GenAI technologies.

The role emphasizes governance, scalability, and collaboration across data scientists, architects, and engineers to deliver data-driven insights and automated pipelines in a cost-efficient manner.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering or related field.
• 8+ years of experience in Data Engineering and Analytics.
• Hands-on experience with Databricks, Python, PySpark, Databricks SQL, Delta Lake, Unity Catalog, Databricks Workflows, Databricks CLI, and Amazon S3.

Responsibilities

• Design, develop, and maintain scalable data pipelines and analytics solutions using Databricks, Python, PySpark, and SQL.
• Build and optimize Delta Lake architectures for reliable, high-performance data platforms.
• Implement and manage Unity Catalog for data governance, security, and access controls.
• Develop and support Databricks Workflows to automate data processing pipelines.
• Collaborate with stakeholders to translate requirements into scalable technical solutions.
• Monitor, troubleshoot, and optimize data platforms for performance and cost efficiency.

Skills

Databricks

Python

PySpark

SQL

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks SQL

Delta Lake

Unity Catalog

Databricks Workflows

Databricks CLI

Amazon S3

Job description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

This role does not support visa-dependent candidates, either now or in the foreseeable future.

Senior Databricks Developer – Data Engineering & GenAI

Hybrid Model- Toronto, ON

Job Summary

We are seeking an experienced Senior Databricks Developer to design, develop, and support modern data and analytics solutions using Databricks, PySpark, Python, Delta Lake, Amazon S3, and Generative AI technologies. The ideal candidate will play a key role in building scalable data platforms, enabling data-driven decision-making, and delivering innovative analytics solutions that support business objectives. This role requires strong technical expertise, problem-solving skills, and the ability to collaborate with cross-functional teams in a hybrid work environment.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and analytics solutions using Databricks, Python, PySpark, and SQL.
• Build and optimize Delta Lake architectures to ensure reliable, high-performance, and governed data platforms.
• Implement and manage Unity Catalog to maintain data governance, security, lineage, and access controls.
• Develop and support Databricks Workflows to automate and orchestrate complex data processing pipelines.
• Utilize Databricks CLI and automation tools to streamline deployments and operational processes.
• Design and maintain secure and efficient Amazon S3 data storage solutions.
• Support implementation of Generative AI (GenAI) and intelligent data solutions that enhance business insights and process automation.
• Develop and integrate AI-enabled workflows and components to improve productivity and business value.
• Collaborate with business stakeholders, architects, data scientists, and engineering teams to translate requirements into scalable technical solutions.
• Monitor, troubleshoot, and optimize data platforms to ensure performance, reliability, and cost efficiency.
• Perform code reviews, testing, documentation, and adherence to development best practices.
• Investigate and resolve production issues while conducting root cause analysis and implementing preventive measures.
• Mentor junior team members and promote best practices in data engineering, cloud technologies, and AI-driven solutions.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 8+ years of experience in Data Engineering and Analytics.
• Strong hands-on experience with:
  • Databricks
  • Python
  • PySpark
  • Databricks SQL
  • Delta Lake
  • Unity Catalog
  • Databricks Workflows
  • Databricks CLI
  • Amazon S3
• Experience designing and building large-scale data platforms and cloud-based data solutions.
• Strong knowledge of data governance, data security, and data architecture best practices.
• Experience with data pipeline optimization, performance tuning, and cost management.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Application Accepted: 8/26/2026

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

The annual salary for this position is between $11000 - $125,000 depending on experience and other qualifications of the successful candidate.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable la

Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.

If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!