Senior Data & Analytics Architect

Munich Re; Toronto; Hybrid; CAD 120,000 - 150,000; Full time

Job summary

A leading reinsurance company located in Toronto is seeking a Senior Data & Analytics Architect to develop cloud-native data and AI platforms. The role requires expertise in Lakehouse architectures and collaboration with data science teams. Ideal candidates possess 8+ years of experience in data architecture and are proficient in tools such as Databricks and Azure. This position comes with an attractive compensation package and promotes hybrid working conditions.

Benefits

Annual company bonus

Flexible health and dental benefits

Generous time off

Learning and development programs

Hybrid work environment

Qualifications

• 8+ years of experience in data architecture, engineering, or analytics.
• Deep expertise in Databricks, Unity Catalog, Azure and/or AWS data and ML services.
• Hands-on experience with Databricks, MLflow, LLMs, and GenAI frameworks.

Responsibilities

• Architect and deploy Lakehouse platforms using Databricks on Azure.
• Implement secure, compliant data governance and lineage.
• Collaborate with data science teams to deploy ML and GenAI models.

Skills

Databricks

Cloud architecture expertise

Data governance

Machine Learning

MLOps

Azure services

AWS services

Stakeholder engagement

Education

Bachelor’s or Master’s in Computer Science, Data Engineering, or related field

Tools

Azure Data Factory

Power BI

Unity Catalog

MLflow

Job description

Overview

We’re looking for a Senior 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.

Your Role

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.
• 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.
• 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

Your Profile

• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
• 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.

Together, we engage with everything we have and are, to help humankind act braver and better.

As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.

Our data, our technology, and our teams place us in a unique position to drive transformative change in the life insurance industry. We invest strategically in our world class talent, offering our employees a work experience that promotes professional development, innovation, and rewards high performance.

What Can We Offer You?

We are pleased to offer our employees great benefits and resources to support their mental, physical and financial wellbeing. These include:

• An engaging and collaborative environment that promotes continuous learning and development
• A hybrid work environment that combines weekly in-office and remote days with Meeting-Free lunch hours and Focus Friday afternoons
• A great compensation package including annual company bonus
• Market leading company-paid flexible health and dental benefits, starting on your first day
• Flexible dollars provided by the company to put towards Health Spending Account and/or Wellness Spending Account
• Immediate participation in DC Pension Plan with an automatic 5% employer contribution, plus optional company match
• Generous time off including vacation, personal days, unplanned time, Statutory Holidays and company-wide early closure half-days
• Learning and development programs and resources, including unlimited access to LinkedIn Learning, Education Assistance Program and reimbursement for professional fees
• Maternity, Parental & Adoption Leave top-up program
• Employee Referral Program, Recognition & Rewards Platform

Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest.

Successful candidates must be prepared to relocate to the specified job location in the job posting and will be employed directly under the hiring entity's contractual terms.

Munich Re is committed to providing a work environment that is inclusive and free of employment barriers and discrimination. Accommodations will be made for qualified applicants with a disability throughout the recruitment process. If you receive a request for an interview and you have a disability which will require an accommodation to support your participation, please contact [e-mail] as soon as practical so that suitable accommodations can be arranged.