Azure Databricks Architect
Azure Databricks Architect
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Job Description
Position: Azure Databricks Architect
Location: Toronto ON (Hybrid 4 days onsite)
We are seeking an experienced Azure Databricks Architect to lead the adoption and integration of Databricks as our enterprise AI/ML platform. This role will establish scalable technical architecture drive innovation and collaborate with infrastructure and security teams to align with organizational standards.
The ideal candidate will enable self-service capabilities for data scientists and analysts support global AI/ML model deployments and ensure compliance with data sovereignty regulations. As a trusted consultant you will influence leadership introduce best practices and help shape the organizations data and AI strategy.
Key Responsibilities-
Architecture Leadership: Design implement and optimize secure scalable Databricks AI/ML solutions.
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Collaboration & Compliance: Partner with security and compliance teams to ensure regulatory alignment including data sovereignty.
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Data Integration: Architect robust data pipelines and integrations across internal and external sources.
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Self-Service Enablement: Build frameworks and tools to empower data scientists with independent model development and deployment.
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ModelOps Strategy: Define and execute ModelOps frameworks for lifecycle management governance and automation.
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Performance & Governance: Optimize workflows and enforce data governance/security best practices.
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Consulting & Innovation: Provide thought leadership run POCs and advise stakeholders on modern AI/ML practices.
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Mentorship & Team Growth: Guide and upskill teams promoting a culture of innovation and excellence.
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Global Deployment: Support worldwide deployment of AI models in compliance with local data laws.
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5 years in enterprise data/AI solution architecture with Databricks Spark and major cloud platforms (Azure preferred).
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Strong knowledge of lakehouse architectures ETL/ELT data governance and security frameworks.
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Proven experience building and scaling ModelOps strategies.
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Excellent consulting communication and stakeholder management skills.
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Bachelors or Masters in Computer Science Engineering or related field (or equivalent experience).
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Demonstrated success leading innovation and enterprise-scale technology adoption.
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Strong thought leadership with the ability to define and communicate technical roadmaps.
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Passion for continuous learning and staying ahead of AI/ML industry trends.
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Customer-centric mindset with focus on delivering measurable business outcomes.
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Employment Type
Full-time
