Senior data architect
Société Financière Manuvie
The Senior Data Architect is responsible for defining and leading the segment data architecture strategy that enables trusted, scalable, secure, and AI-ready data capabilities across the organization. This role provides architectural leadership for architecture, design, governance, modernization, and implementation of data solutions and platforms that support analytics, reporting, machine learning, and AI-driven solutions, while remaining actively engaged in hands‑on solution design, data platform engineering, and implementation activities where deep technical expertise is required. Partner with business and technology stakeholders, architects and engineers to define data requirements, data domains, data consumption patterns, and architect scalable and secure data solutions that support business outcomes.
Office location: Toronto - Canada (primary) or Boston - USA
Work arrangement: Hybrid - 3 days in office, 2 days from Home; Remote working option is not available.
Position Responsibilities
Define and evolve the segment data architecture vision, standards, principles, and roadmap.
Design scalable Data Lake, Data Warehouse, and Lakehouse architectures supporting 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 the design and implementation of data pipelines, integration frameworks, and cloud-native data platforms.
Provide hands‑on technical leadership for complex data engineering initiatives, including 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 use of data.
Design AI-ready
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Office location: Toronto - Canada (primary) or Boston - USA
Work arrangement: Hybrid - 3 days in office, 2 days from Home; Remote working option is not available.
Position Responsibilities
Define and evolve the segment data architecture vision, standards, principles, and roadmap.
Design scalable Data Lake, Data Warehouse, and Lakehouse architectures supporting 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 the design and implementation of data pipelines, integration frameworks, and cloud-native data platforms.
Provide hands‑on technical leadership for complex data engineering initiatives, including 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 use of data.
Design AI-ready
#J-18808-Ljbffr
Reference: WJ-3875_13736816