Sr. Data

2 weeks ago


Toronto, Canada Alquemy Search & Consulting Full time

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,


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