Azure Senior Data Lead

Azure Senior Data Lead

Azure Senior Data Lead Airdrie, Alberta

Job Summary

Role – Sr. MLOps Technical Lead Location – Anywhere in CanadaSell rate – CAD 130 to CAD 150 per hour MLOps Technical Lead to drive the design, implementation, governance, and operationalization of enterprise AI/ML platforms built on Microsoft Azure and Databricks. The ideal candidate combines deep technical expertise in MLOps and cloud architecture with strong business analysis and stakeholder management capabilities.

Key Responsibilities

• MLOps & Platform Leadership
• Define and implement enterprise MLOps strategy, standards, and best practices.
• Lead the design and deployment of end-to-end ML lifecycle solutions including: Data ingestion and preparation Feature engineering Model training and experimentation Model deployment Monitoring and retraining Establish CI/CD and CT (Continuous Training) pipelines for ML workloads. Drive model governance, reproducibility, versioning, lineage, and compliance. Implement observability frameworks for ML model performance, drift detection, and operational monitoring. Lead technical reviews and architecture governance for AI/ML initiatives.
• Skill Requirements
• Azure & Databricks Architecture Design scalable and secure cloud-native AI platforms leveraging: Azure Databricks Azure Machine Learning Azure Data Factory Azure Data Lake Storage Gen2 Azure DevOps / GitHub Actions Azure Key Vault Azure Monitor / Log Analytics Azure Kubernetes Service (AKS) Microsoft Fabric Define reference architectures for batch, streaming, and real-time ML workloads. Ensure alignment with enterprise security, networking, and compliance standards. Optimize platform cost, performance, and reliability.
• Solution Architecture Translate business requirements into scalable AI/ML solution architectures. Develop architecture blueprints, solution designs, and technical roadmaps. Evaluate emerging technologies and recommend platform enhancements. Lead architecture workshops and design thinking sessions. Define integration patterns with enterprise systems and data platforms.
• Business Analysis & Stakeholder Management Engage business stakeholders to understand strategic objectives and use cases. Conduct requirements gathering, gap analysis, and feasibility assessments. Define business outcomes, KPIs, and success metrics for AI initiatives. Create business cases and ROI assessments for AI/ML investments. Collaborate with Product Owners and business teams to prioritize AI capabilities. Facilitate communication between business and technical teams.
• Team Leadership Lead multidisciplinary teams comprising Data Engineers, Data Scientists, ML Engineers, and Cloud Engineers. Provide technical mentoring and coaching. Drive Agile delivery and DevOps practices. Establish engineering standards and operational excellence practices.
• Other Requirements
• Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python would be a plus.

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.

Benefits

At HCLTech, we believe in empowering our employees with comprehensive benefits that support their professional growth and enhance their well-being. When you sign up for a career with us, you gain access to:

• Industry-benchmarked compensation
• Best-in-class healthcare benefits
• Personal time off
• Maternity and paternity benefits
• Access to skills / higher education programs/resources
• Discounts on products and services via Benefit Box
• Participate in CSR programs and live life with a purpose
• Opportunities to grow and advance your career

Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.