Job Title

Sr. Data & Analytics Architect Full time/permanent position 'Hybrid' work environment - 2 days per week in downtown Toronto office Job details & description: Seeking a Sr. Data & Analytics Architect to lead the development of next-generation, cloud-native data and AI platforms. This role is pivotal in shaping scalable Lakehouse architectures and enabling enterprise-wide analytics, machine learning, and generative AI capabilities. You'll work with cutting-edge technologies like Azure, AWS, Databricks, and Unity Catalog to drive innovation and deliver measurable business impact. Responsibilities: Cloud & Lakehouse Architecture Architect and deploy Lakehouse platforms using Databricks on Azure, Delta Lake, Apache Spark, and ADLS Gen2 Build and optimize data pipelines with Databricks Workflows and Azure Data Factory for structured and unstructured data Implement secure, compliant data governance and lineage using Unity Catalog. Enable real-time and batch analytics with Databricks Structured Streaming, Azure Event Hubs, and Amazon Kinesis Design, build, and maintain scalable data pipelines and workflows using Azure Data Factory and Databricks, leveraging Spark/PySpark frameworks Machine Learning & Generative AI Collaborate with data science teams to deploy ML and GenAI models using Databricks ML Design solutions for LLM fine-tuning and deployment via Databricks Model Serving, Azure OpenAI, and Amazon Bedrock Manage feature stores, model registries, and experiment tracking with MLflow and cloud-native MLOps tools Ensure production-grade scalability, monitoring, and governance of models. MLOps & Platform Engineering Develop CI/CD pipelines for ML and data workflows using Databricks Repos, Azure DevOps and GitHub Actions Automate workflows with Databricks Jobs and Azure ML Pipelines Optimize compute infrastructure (Databricks clusters, AKS, EKS) for training and inference Implement observability and model drift detection with Databricks monitoring and Azure Monitor Strategic Leadership Translate business goals into scalable data and AI solutions in partnership with both business and technical stakeholders. Mentor data engineers, ML engineers, and analytics professionals. Evaluate and recommend emerging GenAI frameworks and cloud-native tools. Champion data democratization and self-service analytics with Power BI and Databricks SQL Desired skills & experience: 8+ years of experience in data architecture, engineering, or analytics Preferred certifications: Databricks Certified Data Engineer or Architect, Azure Solutions Architect Expert, AWS Certified Solutions Architect, Azure or AWS Machine Learning Specialty Deep expertise in Databricks, Unity Catalog, Azure and/or AWS data and ML services Strong grasp of Lakehouse architecture, data governance, and MLOps Hands-on experience with Databricks, Unity Catalog, MLflow, LLMs, and GenAI frameworks Proven proficiency in Databricks, including building pipelines and workflows, and a solid understanding of Spark/PySpark Expertise with Azure Data Factory, Databricks SQL, data pipeline development, and Power BI reporting Excellent communication and stakeholder engagement skills Base Salary - $140,000 - $170,000 (flexible related to experience)+Bonus +RRSP/Pension +Generous Benefits package +Other bells and whistles If you're interested, please apply with resume If you are a strong fit, I will be in contact quickly with additional information and next steps Best regards,