Senior Data Platform Engineer

We're working with a leading consulting firm that is revolutionizing the professional services landscape through innovation in data, AI, and technology. They empower businesses by delivering impactful solutions and fostering a culture of curiosity and capability. The Role Support and improve enterprise data platform capabilities in Azure and Databricks environments Provide technical guidance on architecture, design, and operational practices Lead troubleshooting for complex platform and production issues Design, support, and optimize Azure-based data platform services Mentor and support other engineers, participating in technical discussions and solution planning Identify and implement automation opportunities using scripting, GitHub Actions, and cloud tools What You'll Need Strong experience with Azure cloud architecture, enterprise platform operations, and troubleshooting complex Azure environments Hands-on expertise in Azure Databricks administration and engineering, including Unity Catalog, Jobs, Workflows, Pipelines, and cluster management Experience with enterprise-scale data platforms, data ingestion, orchestration, and pipeline operations Proficiency in Python scripting, automation, GitHub Actions, and CI/CD pipelines Understanding of API integrations, authentication, authorization, and secure cloud platform design principles Typically 6+ years of experience in cloud engineering, data platform engineering, or similar roles What's On Offer Opportunity to work on mission-critical enterprise cloud data platforms Technical leadership and mentorship opportunities Collaborative environment focused on innovation and continuous improvement Competitive compensation package (contract or permanent options available) Apply via Haystack today!

Support and optimize enterprise data platform capabilities within Azure and Databricks environments. Lead troubleshooting for complex production issues and mentor other engineers in technical solution planning.

Requires over 6 years of experience in cloud or data platform engineering with strong expertise in Azure and Databricks. Proficiency in Python, automation tools, and secure cloud design principles is essential.

• Competitive Compensation Package

• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Azure Cloud Architecture
• Azure Databricks
• Unity Catalog
• Python
• GitHub Actions
• CI/CD Pipelines
• Data Platform Engineering
• Cloud Operations
• API Integration
• Secure Cloud Design
• Data Ingestion
• Orchestration

• Data & Analytics
• Technology
• Engineering
• Software
• Consulting

Minimum experience

5+ years

Apply by

Sep 4, 2026

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Toronto, Ontario, Canada

Seniority

Mid-Senior level