Position ResponsibilitiesDesign and implement data integration solutions to facilitate seamless data flow between systems.Architect and oversee data ingestion, transformation, and orchestration using ADF/Synapse pipelines, Databricks Workflows, and event‑based patterns.Establish data modeling standards (dimensional/Kimball, Data Vault, lakehouse models) and semantic layers for BI/ML consumption.Implement governance: data catalogs/lineage, DQ frameworks, security, RBAC/ABAC, and compliance alignment (e.G., Purview, Unity Catalog).Design scalable ML platforms: feature stores, model training/serving, experiment tracking (MLflow), and CI/CD for ML (MLOps).Optimize performance and cost: cluster sizing, autoscaling, storage layout (partitioning/Z‑ordering), caching, and query tuning (Spark SQL/PySpark).Define data contracts/APIs and integration patterns for cross‑domain interoperability and application consumption.Partner with engineering, data science, and business collaborators to translate requirements into technical roadmaps and reference architectures.Lead POCs, platform modernization, and migration efforts (on‑prem to Azure, batch to streaming, BI to lakehouse).Build standards, templates, and guidelines; mentor teams and conduct architecture reviews.Maintain existing integration frameworks and guide each squad.Evaluate emerging data technologies and tools to improve data architecture and processes.Monitor and optimize the performance of data systems to ensure productive data processing.Required Qualifications7+ years in data architecture/engineering.3+ years hands‑on with Databricks and Delta Lake.Strong Azure expertise: Azure Databricks, Data Factory, Synapse, Event Hubs, Storage (ADLS Gen2), Key Vault, Azure DevOps.Proficiency in Spark (Core/SQL), PySpark,



and SQL; experience with performance tuning and large‑scale data processing.Experience designing Medallion Architecture and implementing data governance (Purview/Unity Catalog, DQ frameworks).MLOps/AI platform knowledge: MLflow, feature stores, model lifecycle, and deployment patterns.Understanding of security, compliance, and data privacy; implementation ofleast‑privilege, encryption, and auditability.CI/CD for data and ML, infrastructure‑as‑code (Bicep/Terraform), and automation.Good communication, relationship management, and technical leadership skills.Bachelor’s degree in computer science, information technology, information systems, or related field.Advanced degrees (Master’s) in data science, computer science, or business administration are preferred for senior roles.5‑10 years of experience in data management, database design, data warehousing, or similar field.Experience with ETL tools and processes (e.G., Databricks, Informatica).Knowledge of data integration patterns and standard methodologies.Hands‑on experience with Spark, Hive, Python, Terraform.Experience with cloud platforms such as Azure and AWS.Preferred QualificationsExperience with streaming architectures: Kafka/Event Hubs, Structured Streaming, CDC.Knowledge of Power BI/semantic models and cross‑platform integrations (Synapse SQL, Fabric, Snowflake).Multi‑cloud awareness (AWS, GCP)



and interoperability patterns.Financial services or regulated industry experience (e.G., BCBS 239, SOX, HIPAA).BenefitsSalary range: $113,000.00 – $163,000.00 CAD plus incentive programs tied to business and individual performance.Health, dental, mental health, vision, short‑ and long‑term disability, life and AD&D insurance coverage.Adoption/surrogacy and wellness benefits; employee/family assistance plans.Retirement savings plans including pension and a global share ownership plan with employer matching contributions.Generous paid time off program in Canada: holidays, vacation, personal and sick days; statutory leaves of absence.Manulife is an Equal Opportunity Employer. At Manulife/John Hancock, we embrace our diversity, strive to attract, develop and retain a workforce as diverse as the customers we serve, and foster an inclusive work environment. We are committed to fair recruitment, retention, advancement and compensation and administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy‑related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner consistent with applicable laws and Manulife/John Hancock policies.#J-18808-Ljbffr

📌 Azure Ai/Data Architect - C$113,000 - C$163,000 A Year (Winnipeg)
🏢 Manulife
📍 Winnipeg