Senior data architect

Société Financière Manuvie; Toronto; Híbrido; CAD 130.000 - 170.000; Jornada completa

Descripción de la vacante

Société Financière Manuvie is seeking a Senior Data Architect to define and lead the data architecture strategy across analytics, ML, and AI workloads. The role partners with business and technology stakeholders to architect scalable and secure data solutions, while remaining hands-on in design and implementation.

The incumbent will drive modernization, data platforms, and governance, ensuring trusted data across data lakehouse, data lake, and data warehouse environments in a hybrid work setup.

Responsabilidades

• 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

Conocimientos

Data architecture

Cloud architecture

Data governance

ETL/ELT

Data modeling

SQL

Python

Descripción del empleo

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