Senior Data Engineer improving General Motors vehicle data pipelines, monitoring, and observability. Supporting reliable fleet software operations across Oshawa and Markham hybrid offices.
About the role
- AVP leading enterprise data architecture, governance, and modernization at Sun Life, helping clients achieve lifetime financial security. Guiding global teams across analytics, platforms, and AI enablement.
Responsibilities
- Lead the overall Enterprise Data Architecture Strategy and Roadmap
- Develop and maintain a multi-year enterprise data architecture strategy aligned with business priorities and technology modernization
- Govern enterprise data standards, patterns, and reference architectures
- Lead the Data Architecture team and develop Directors, Architects, and Senior Consultants across geographies
- Support Data and Analytics organizations in translating strategic requirements into scalable enterprise data architectures and information models
- Define architecture standards for structured and unstructured data assets
- Establish data foundations supporting enterprise AI capabilities
- Drive adoption of enterprise data architecture standards and governance practices across regional organizations and business units
- Align enterprise architecture strategy with data platform modernization and data transformation initiatives
- Lead semantic architecture, metadata management, and knowledge discovery capabilities
- Assess cloud and on-premise deployment decisions based on workload, latency, scalability, security, regulatory, and consumption requirements
- Monitor technology, regulatory, privacy, compliance, retention, audit, and governance developments
- Keep senior technology and data leadership informed of trends, opportunities, risks, and best practices
- Foster collaboration across architecture, engineering, data science, analytics, platform, infrastructure, security, and business teams
Requirements
- Minimum 10 years of experience in Enterprise Data Architecture, Information Architecture, Data Management, or related disciplines
- Deep expertise in enterprise data architecture, information management, analytics platforms, and cloud-native data ecosystems
- Experience defining and implementing enterprise-scale data strategies supporting business transformation
- Ability to manage through influence in a complex global environment
- Strong consulting, communication, organizational, negotiation, and stakeholder management skills
- Expertise bridging business strategy, enterprise data architecture, analytics, and AI enablement
- Strong experience with data warehousing, data lakes, lakehouse architectures, data products, metadata management, master and reference data management, data lineage, and data governance
- Experience with Kafka, relational and NoSQL databases, graph and semantic technologies, and real-time data platforms
- Experience supporting AI and machine learning initiatives through scalable data architecture and governance
- Understanding of AI data requirements, model lifecycle considerations, AI governance, and responsible AI practices
- Minimum 2 years of hands-on experience designing enterprise-scale cloud-native data solutions on AWS
- Strong knowledge of AWS S3, Redshift, Glue, Athena, SageMaker, Lake Formation, and CloudFormation
- Azure cloud services experience considered an asset
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Information Technology, or related discipline
- Minimum 10 years of architecture leadership experience focused on Enterprise Data Architecture strategy and implementation
- Experience leading and managing Solution Architects in a matrixed organization
- French and English bilingualism, oral and written, required for Quebec positions
Benefits
- Flexible hybrid work model
- Pension, stock and savings programs
- Work and professional development
- Friendly, collaborative and inclusive culture
- Continuous improvement and digital enterprise experience opportunities
- Competitive salary and bonus structure
- Career paths with networking potential
- Accommodation in the application process for persons with disabilities
- Supportive, flexible, and inclusive work environment
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