Closed listing
Technology Lead - Databricks Admin
- Mississauga, ON, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Education
- Bachelor’s degree
- Experience
- At least 4 years of Information Technology experience
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
The role supports our client’s enterprise data modernization initiatives by ensuring a robust, scalable, and secure Databricks platform for analytics and engineering teams.
Required Qualifications
- Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
- Candidate must be located within commuting distance of Mississauga, Ontario or be willing to relocate to the areas.
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 4 years of Information Technology experience
- 6+ years of experience in cloud-based database and platform administration (AWS/Azure).
- 3+ years hands-on experience administering Databricks environments.
- Strong understanding of autoscaling, job orchestration, and pipeline execution.
- Deep knowledge of cloud storage, networking basics, IAM, and security best practices.
- Experience with Delta Lake, Unity Catalog, and workspace governance.
- Proficiency in scripting (Python, Shell, PowerShell) for automation.
- Experience with monitoring tools and log analytics (CloudWatch, Azure Monitor, Databricks Logs).
- Familiarity with DevOps and CI/CD (GitHub Actions, Azure DevOps, Jenkins).
- Databricks certifications (Admin, Associate Data Engineer, or Architect).
- Understanding of data engineering, ETL/ELT workflows, and big data concepts.
Databricks Platform & Workspace Administration
- Manage and administer Databricks workspaces, clusters, pools, jobs, and user access controls.
- Implement and enforce cluster policies, workspace best practices, and governance standards.
- Oversee Libraries, Repos, and Job scheduling within Databricks.
- Monitor and optimize runtime versions, cluster configurations, and performance.
- Provide L2/L3 support for platform issues, job failures, cluster outages, and scheduled maintenance.
- Collaborate with Data Engineering, Security, Cloud Infra, and Governance teams.
- Support upgrades, migrations, patching, and operational improvements.
- Automate deployment processes using Git-based workflows (Repos/GitHub).
- Develop and maintain scripts for workspace automation.
- Manage CI/CD pipelines for notebooks, jobs, and Delta pipelines.
- Troubleshoot cluster performance issues, job failures, and resource utilization.
- Optimize Spark configurations, autoscaling parameters, and workload management.
- Monitor audit logs, job runs, compute usage, and cost trends.
- Implement role-based access control (RBAC) and workspace governance aligned with corporate security standards.
- Manage secrets, tokens, service principals, and integration with Azure AD / AWS IAM.
- Ensure compliance with data protection, logging, audit requirements, and enterprise governance.
- Administer cloud-based databases (AWS/Azure), including provisioning, performance tuning, maintenance, and monitoring.
- Manage S3 / ADLS storage integrations, mount points, permissions, and lifecycle policies.
- Support ingestion frameworks and ETL/ELT workflows using Spark, Delta Lake, and Databricks Asset Bundles (optional).
Estimated annual compensation range for the candidate based in the below location will be:
Ontario: $ 92740 to $ 123375
Additional Required Qualifications
Databrick Administration
AWS/Azure
SQL
Database Administration
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
More about this job
Responsibilities
The Technology Lead will manage and optimize Databricks workspaces, clusters, and job scheduling while ensuring platform security and governance. They will also provide operational support, automate deployment processes, and collaborate with engineering teams to maintain platform reliability.
Requirements
Candidates must have at least 4 years of IT experience, including 3+ years of hands-on Databricks administration and a bachelor's degree or equivalent. Proficiency in cloud database administration, scripting, and CI/CD workflows is required, along with the ability to work in Mississauga, Ontario.
Skills
- Databricks
- AWS
- Cloud Database Administration
- Cluster Management
- Workspace Governance
- Performance Optimization
- CI/CD
- Python
- Shell
- PowerShell
- Delta Lake
- Unity Catalog
- Spark
- ETL/ELT
- Azure DevOps
- GitHub Actions
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Consulting
- Administrative
Keywords
- Databricks
- AWS
- Azure
- Cloud Administration
- Database Administration
- Cluster Management
- Workspace Governance
- Performance Optimization
- CI/CD
- Python
- Shell
- PowerShell
- Delta Lake
- Unity Catalog
- Spark
- ETL
- ELT
- GitHub Actions
- Azure DevOps
- Jenkins
- CloudWatch
- Azure Monitor
- Data Engineering
- Big Data
- Automation
- RBAC
- IAM
- S3
- ADLS
- Databricks Asset Bundles