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 workplace focused on innovation and continuous improvement

- Competitive compensation package (contract or permanent options available)

Apply via Haystack today!

📌 Senior Data Platform Engineer (Toronto)
🏢 Haystack
📍 Toronto