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Senior Data Architect
Remote / Online - Candidates ideally in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-03-06
Boston, Suffolk County, Massachusetts, 02298, USA
Listing for:
Manulife
Remote/Work from Home
position Listed on 2026-03-06
Job specializations:
-
IT/Tech
Data Engineer, Data Warehousing
Job Description & How to Apply Below
Manulife / John Hancock is seeking a Senior Data Architect to lead and shape the data architecture strategy within the U.S. Segment.
In this role, the Senior Data Architect will be responsible for defining enterprise-wide standards, frameworks, and governance models that promote consistency, scalability, and regulatory compliance across data platforms and initiatives.
Office location:Toronto - Canada (primary) or Waterloo - Canada or Boston - USA (alternative)
Work arrangement:Hybrid - 3 days in office, 2 days from Home;
Remote working option is not available.
- Leads the development and implementation of data integration and migration strategies for large datasets.
- Designs and architects highly scalable data pipelines to load data from various source systems.
- Designs, architects, and maintains data models, data warehouses, and data lakes optimized for scalability and performance.
- Designs data architecture and IT solutions to ensure data is stored properly, usable by business units, and protected from attacks.
- Optimizes data solutions for performance and scalability, utilizing techniques such as data partitioning, distributed processing, and data compression.
- Identifies the needs of the data lakes and data warehouses, the data that is available, and creates a blueprint for creating, testing and maintaining them.
- Works with database administrators and data analysts to ensure they can easily use and access data.
- Works with management to create databases that will be usable and store the required information.
- Addresses issues with data migration (e.g., validation, clean-up and mapping) and understands the importance of Data Dictionaries.
- Documents data architectures, technical processes, and performance optimization strategies.
- Documents data interfaces and movement which includes frequency of movement, data transformations, and any aggregation or calculations.
- Integrates views of data by working with business team members and application designers to determine data requirements (e.g., availability, volumes).
- Defines data architecture standards and guidelines, and how to use the architected databases.
- Helps ensure a focus on data quality, working closely with business team members to determine its importance.
- Software/platform/infrastructure architecture plans to support business strategy and outcomes.
- Defines the overall integration of Data and ML pipelines across the data supply chain and defines the technical and operational design of these pipelines.
- Implements mechanisms to monitor and prevent unethical use of data, such as bias in algorithms or discriminatory practices.
- Experience architecting, designing and developing large-scale data solutions and enterprise-wide systems
- Strong knowledge of data management skills (e.g., Hadoop, No
SQL, Spark), metadata management, big data management - Expert knowledge of structured analysis and design techniques
- Knowledge across data technology stack (e.g., Azure Data Factory, Databricks, Spark, Python, Synapse)
- Strong understanding of data management, from RDBMS to No
SQL data models - Knowledge of ETL and data integration tools and technologies
- Software development experience using multiple languages (e.g., Python , Java, C, C++, C#)
- Understanding of logical designs of how databases will link to each other and the flow of data between stages
- Ability to use AI to support data management strategies.
- Provides professional advice – takes a lead role of process or program execution
- Is accountable for own work and contributes to setting standards through expertise in own job discipline that impact others’ deliverables
- Work is guided by cascaded policies or business plans
- May lead medium to large size projects or work streams with moderate resource requirements, risk and/or complexity with multiple teams representing different interests
- Data Governance
- Data Warehousing
- Data Modeling
- Data Visualization
- Cloud Computing
- Programming Languages
- Performance Optimization
- Data Security
- Data Integration
- Industry experience from large complex financial Org is highly desired
- We’ll empower you to learn and grow the…
Position Requirements
10+ Years
work experience
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