Databricks Administrator at Cognizant

Date: 10 hours ago
City: Mississauga, ON
Salary: CA$100,000 - CA$120,000 per year
Contract type: Full time

About the role

As a Databricks Administrator , you will make an impact by designing, optimizing, and governing scalable Databricks environments that enable secure, high-performance data processing and analytics. You will be a valued member of the data platform team and work collaboratively with data engineers, analysts, and cloud platform stakeholders to deliver robust and compliant data solutions.

In this role, you will:

Design scalable Databricks workspace architectures aligned with enterprise standards, security, and compliance requirements

Configure and administer Databricks environments to ensure secure access, efficient cluster utilization, and cost optimization across environments

Implement and manage Unity Catalog to enable standardized data governance, metadata management, and fine-grained access controls

Develop and optimize Databricks SQL models and reusable data assets for analytics and reporting consumers

Build and orchestrate data pipelines using Databricks Workflows and PySpark, ensuring reliable and timely data delivery

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Canada . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

Strong experience administering Databricks environments, including workspace configuration, cluster management, and security controls

Proven expertise in Unity Catalog, data governance frameworks, and access management best practices

Hands-on experience with PySpark for large-scale data processing and transformation

Solid experience building and managing Databricks Workflows and SQL-based analytics solutions

Experience monitoring platform performance, troubleshooting issues, and driving operational improvements

These will help you stand out

Experience establishing Databricks best practices (workspace organization, CI/CD, monitoring, governance frameworks)

Familiarity with cloud platforms (Azure, AWS, or GCP) and integration with data lakes/warehouses

Experience conducting code reviews and enforcing engineering standards for data pipelines

Strong documentation skills (runbooks, knowledge articles, onboarding materials)

Ability to collaborate cross-functionally and translate technical requirements into scalable solutions

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $100,000 - $120,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.

Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.

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