CanCap Group Inc. is part of privately-owned Canadian national financial services company with multiple verticals across automotive, consumer, and merchant lending portfolios. We manage the entire lifecycle of the finance receivable from credit adjudication through to contract administration, customer service, default management and post charge-off recoveries. We are a company of innovators, we learn from each other, respect each other and create together. When it comes to our customers, partners, and each other, we are always motivated by doing the “right thing”. We are always looking to find the best people and the right methods that allow us to meet this goal and look to the future for growth.

What Your Day and Week Could Look Like

Reporting to the Head of Data Platform, the Databricks Platform Administrator will be responsible for designing, implementing, and maintaining our Google Cloud-based Databricks environment to support the company’s data analytics and business intelligence needs.

A key focus of this role will be managing Databricks permissions, user access, security policies, and workspace configurations to ensure a well-governed, scalable, and secure data environment deployed on GCP. You will be responsible for ensuring Databricks infrastructure is properly maintained to support business-critical data operations and our ETL pipelines built using Data Build Tool (DBT). The ideal candidate will be responsible for the deployment, configuration, and administration of cloud-native platforms, ensuring secure, scalable, and efficient environments for data and analytics workloads

Key Responsibilities

• Provision and manage Databricks workspaces across development, test, and production environments.
• Set up and configure GCP services including networking, IAM, Cloud Storage etc.
• Implement and maintain IAM policies and role-based access controls across GCP and Databricks environments.
• Collaborate with data engineering and security teams to ensure compliance with cloud security best practices and organizational standards.
• Monitor platform usage, optimize performance, and ensure high availability and reliability of cloud environments.
• Automate platform operations using Infrastructure as Code (IaC) tools like Terraform.
• Conduct security reviews, manage secrets, and monitor audit logs for anomalous activity.
• Assist in incident response and troubleshooting across platform layers.
• Maintain documentation related to platform architecture, procedures, standards, configurations, permissions structures and access control policies.
• Develop and enforce best practices for Databricks security, governance, and resource optimization.
• Design and implement scalable Databricks workspaces and clusters, optimizing cost efficiency and performance.
• Participate in design reviews with peers and stakeholders to determine the best Databricks configurations and integrations.
• Monitor and optimize Databricks notebooks, jobs, and workflows to enhance efficiency and reliability.
• Maintain and contribute to documentation and best practices for Databricks environments.
• Troubleshoot and resolve Databricks platform issues, identifying root causes of system performance bottlenecks.

What You Bring

• 6 to 8 years of experience in platform administration or cloud engineering roles.
• Strong hands-on experience with Databricks setup, provisioning, and workspace administration.
• Solid understanding of Google Cloud Platform (GCP) services and architecture.
• Proven experience in managing IAM (preferably in GCP and Databricks).
• Strong knowledge of cloud security principles, encryption, and compliance standards.
• Familiarity with Terraform, CI/CD pipelines, and DevOps practices.
• Proficient in scripting languages like Python, Shell, or Bash.
• Excellent problem-solving, communication, and documentation skills.
• Foundational knowledge on working with common ETL tools.
• Strong expertise in Databricks or other Data Lakehouses.
• Experience managing user access, permissions, security settings, and governance policies within Databricks.
• Experience working with large-scale data processing, data structures, and algorithms.

Preferred Qualifications

• GCP certification (e.g., Cloud DevOps Engineer, Cloud Security Engineer).
• Databricks certification
• Experience with multi-cloud environments.
• Exposure to data engineering pipelines and ML platform management.
• Understanding of networking concepts (VPC, firewall rules, peering, etc.) in GCP.

Nice to Have

• Master's degree in Computer Science or related technical fields.
• Proficiency in performance tuning, large-scale data analysis and debugging skills.

What You Can Expect From Us

Our Employee Experience is aimed at supporting and inspiring our talented team through:

• A passionate team dedicated to supporting and empowering others.
• An environment where creative, innovative thinking is encouraged.
• Health and Dental Benefits.

Work Location & Remote Flexibility

• This role follows a hybrid model, requiring employees to work 50% in-office, with flexibility to work remotely or from the office on other days.
• The company has two office locations:
  • Downtown Toronto (Church Street) – The tech team is primarily based here.
  • Mississauga – Another office location, but less frequently used by the tech team.

CanCap is an equal opportunity employer and values diversity. We are committed to building and evolving a team reflecting a variety of backgrounds, perspectives, and skills. To be considered for employment, you will need to successfully pass a criminal background check and validate your work experience.

Next Steps

Adding to our team is an important step in our business. We’ve taken time to be purposeful and thoughtful with this job posting, and we encourage you to do the same with your application. Help us understand how your experience aligns with this role and how you can contribute to our Databricks-driven data platform.

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