Enterprise Architect
$145,000–$155,000 year
On-siteToronto, Ontario, Canada
Job Summary
Define and evolve Interac's enterprise data architecture target state, including blueprints and roadmaps for the modern data warehouse and lakehouse ecosystem. Establish metrics and guardrails for data quality, lineage, and metadata completeness across warehouse and lakehouse environments. Lead architecture reviews, peer assessments, and governance forums to ensure solutions align with enterprise standards, privacy, security, and regulatory requirements. Document reference architectures, modeling standards, and ingestion patterns while partnering with delivery teams to prioritize remediation of systemic data risks. Report to the Leader, Enterprise Architecture within a federated model, supporting trusted analytics and scalable business decision-making.
Required Qualifications
- Eligibility to work for Interac Corp. in Canada in a full-time capacity
- 5+ years' experience in enterprise, data, information, and/or solution architecture roles within complex environments
- Proven experience operating in a federated architecture model, balancing enterprise stewardship with embedded delivery
- Demonstrated experience designing enterprise data architectures where data domains, data products, data models, metadata, lineage, access controls, and ownership are clearly defined and governed
- Demonstrated ability to assess, quantify, and manage data architecture risk, including data duplication, inconsistent definitions, poor data quality, weak lineage, unclear ownership, and fragmented analytical platforms
- Practical experience with data warehouse and lakehouse architecture patterns, including ingestion, transformation, curated data layers, semantic modelling, data marts, open table formats, and fit-for-purpose consumption patterns for BI, analytics, and AI use cases
- Experience in financial services or other highly regulated industries, with working knowledge of security, risk, and compliance expectations
- Strong decision-making and trade-off analysis skills (risk, cost, time-to-market, resiliency)
- Experience designing scalable, secure, and resilient data platforms across cloud, SaaS, and on-premises environments, including modern integration patterns such as APIs, event-driven data flows, streaming, batch processing, and governed data sharing
- Strong understanding of how data quality, metadata, lineage, master and reference data, lifecycle state, privacy, and security controls intersect, and ability to translate these relationships into measurable architecture metrics and governance practices
- Architecture, data management, and/or cloud certifications such as TOGAF, CDMP, DAMA-DMBOK, AWS, Azure, or equivalent
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