Senior Data Architect integrating Alberta’s environmental regulatory, Databricks, and geospatial platforms. Designing governed data flows for regulators, decision - makers, and Albertans.
About the role
- Senior Data Architect leading secure, scalable data architecture for Manulife’s financial services organization. Designing cloud, lakehouse, analytics, machine learning, and generative AI data platforms.
Responsibilities
- Define and evolve the segment data architecture vision, standards, principles, and roadmap
- Design scalable Data Lake, Data Warehouse, and Lakehouse architectures for analytics, operational, and AI workloads
- Establish architecture patterns and standards for data integration, metadata management, data governance, data quality, and data products
- Lead data modernization, migration, and cloud transformation initiatives
- Lead and contribute to data pipelines, integration frameworks, and cloud-native data platforms
- Provide hands-on technical leadership for data ingestion, transformation, orchestration, and performance optimization
- Design and implement scalable batch, streaming, and near real-time data processing solutions
- Ensure data is secure, governed, and compliant with regulatory and privacy requirements
- Partner with governance, risk, and security teams to promote trusted and responsible data use
- Design AI-ready data architectures for machine learning, advanced analytics, and Generative AI solutions
- Provide technical leadership and architecture governance across strategic data initiatives
- Lead data architecture reviews, technology evaluations, and key design decisions
- Partner with business and technology stakeholders, architects, and engineers to define data requirements, domains, consumption patterns, and scalable secure solutions
Requirements
- 10+ years of experience architecting, designing, and delivering large-scale data solutions
- Hands-on experience with modern data platforms such as Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Spark, or comparable technologies
- Working knowledge of SQL and NoSQL databases
- Proficiency in SQL and at least one relevant programming or scripting language such as Python, PySpark, Java, or Scala
- Strong knowledge of enterprise data architecture, data modeling, data integration, and Data Lake, Data Warehouse, and Lakehouse patterns
- Experience designing batch, streaming, and event-driven data solutions for analytical, operational, machine learning, and generative AI workloads
- Strong understanding of Master Data Management, Reference Data Management, Data Governance, Data Lineage, and Data Quality
- Proven experience leading cloud-based data platform implementations and modernization initiatives
- Ability to lead architecture strategy while contributing to implementation of data solutions
- Strong understanding of data security, privacy, regulatory compliance, access control, and responsible data use
- Ability to evaluate data technologies, document architecture decisions, lead architecture reviews, and communicate complex trade-offs to technical and non-technical stakeholders
- Experience with governed data products, domain-oriented data architectures, or data mesh concepts preferred
- Experience in a large, complex, highly regulated organization preferred
- Familiarity with Machine Learning, MLOps, and generative AI data architectures preferred
- Working knowledge of DataOps, CI/CD, automation, performance optimization, monitoring, and operational resilience preferred
- Bachelor's degree in computer science, engineering, information systems, or a related discipline, or equivalent practical experience
Benefits
- Flexible environment supporting learning and career growth
- Well-being and inclusion support
- Health insurance
- Dental insurance
- Mental health benefits
- Vision insurance
- Short-term disability insurance
- Long-term disability insurance
- Life insurance
- AD&D insurance
- Adoption/surrogacy benefits
- Wellness benefits
- Employee/family assistance plans
- Retirement savings plans
- Pension
- Global share ownership plan with employer matching contributions
- Financial education and counseling resources
- Paid holidays, vacation, personal, and sick days in Canada
- Statutory leaves of absence
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