Data Architect

Position: Data Architect Reports to: Director, Data Intelligence Position Term: Full Time Permanent Primary Location: Mississauga, Ontario, Canada Workplace Type: Remote (Within Canada) Job Purpose

The Data Architect is responsible for the design, governance and integrity of World Vision Canada's data architecture. The role defines how data is structured, stored, integrated and made available for reporting, analytics and artificial intelligence, and translates business information requirements into a well-governed and reusable data foundation. It ensures that data is managed as an enterprise asset that is consistent across systems, reliable for decision-making, and able to support the organization as its technology environment changes, thereby supporting the organization's mission. Reporting to the Director, Data Intelligence, the incumbent develops the organization's data architecture framework and principles for the Director's approval and is thereafter accountable for their application across the enterprise. The incumbent owns the data architecture for the multi-year transformation program and sets the multi-year direction and roadmap for the organization's data architecture and platform. Support for day-to-day operations is provided on an as-available basis and is ad-hoc in nature. This is a hands-on role, with results achieved through modernizing data flows, publishing standards, documentation and design reviews. Responsibilities

Designs the enterprise data architecture.

Develops the conceptual, logical and physical data architecture, including the data platform, canonical data models, and the standards that govern how data is structured, stored and moved. Establishes the framework and principles that govern this work and holds all designs, internal and vendor, to them. Develops and presents the data architecture for senior leadership approval.

Prepares and presents the data architecture, its roadmap and material design decisions to senior leadership for approval, frames the options and the trade-offs between them, and sets the multi-year direction for the organization's data architecture and platform. Defines data integration and interoperability standards.

Establishes the contract-first patterns, interfaces and reusable standards by which systems exchange data, including schema and interface contracts defined in advance of build. This includes the standards for secure data-sharing with federated partner organizations across the wider World Vision partnership, distinct from the organization's own enterprise data governance which the role helps uphold. Sets the data architecture requirements that solution designs must satisfy, rules on data design questions arising within solution architecture, and confirms that individual solutions stay coherent with the wider data architecture. Architects governed, reusable data products.

Designs trustworthy, well-defined data products and master data structures, including consolidated master records and analytical models, that support reporting, analytics and machine learning. Ensures these are documented, discoverable and reusable across business areas rather than rebuilt for each initiative. Establishes data quality, master data and lifecycle standards.

Defines the controls for data quality, master data management, retention and remediation, and requires delivery teams to apply them in day-to-day practice. Sets quality and design standards at a level sufficient for data to be consumed reliably by analytics and artificial intelligence, including requirements for completeness, consistency, labelling and documented meaning. Monitors adherence, directs the remediation of data quality and data definition issues at source, and withholds acceptance where the controls are not met. Sets standards for AI and machine learning data use and platform portability.

Defines how analytical and machine learning workloads consume governed data, and designs for platform portability so that the organization avoids undue dependence on any single vendor or platform. Establishes data security and protection standards.

Defines how data is classified, protected and accessed, with particular attention to sensitive information and to data relating to donors, employees, and vulnerable populations, including children participating in the organization's programs. Ensures protection, privacy and access controls are included in designs from the outset, and that designs meet or exceed regulatory and organizational obligations. Produces and maintains architecture documentation.

Produces and maintains data architecture documentation, including conceptual, logical and physical data models, current and target state reference architectures, data flow and integration diagrams, architecture decision records and standards documentation. Maintains these as the reference used by delivery teams and as the record of archi