Senior Enterprise Architect at OneDigital shaping technology vision and collaborating across product management teams. Ensures delivery of business - driven initiatives meeting enterprise standards.
About the role
- Enterprise Architect leading architecture strategy in AI, automation, cloud, and data platforms at financial services organization. Shaping intelligent architecture and ensuring compliance across enterprise initiatives.
Responsibilities
- Define and evolve the enterprise architecture roadmap and blueprint for AI, intelligent automation, analytics, and cloud data platforms at People Corporation.
- Develop and maintain reference architectures, design patterns, and standards supporting digital and data transformation.
- Partner with business, data, and engineering teams to integrate automation, AI, and analytics into core business processes.
- Provide architectural oversight for enterprise initiatives in AI, RPA, MLOps, and data engineering.
- Ensure compliance with data privacy, security, and regulatory obligations (OSFI, PIPEDA, GDPR, etc.).
- Collaborate with risk, compliance, and IT governance to define AI and automation guardrails and controls.
- Evaluate emerging technologies and vendors to identify opportunities for innovation and operational efficiency.
- Contribute to cloud adoption and modernization initiatives, ensuring architectural consistency and interoperability.
- Advise senior stakeholders on the business value of data, AI, and automation investments.
Requirements
- 10+ years of experience in enterprise architecture, solution architecture, or platform strategy within financial services or a regulated industry.
- Proven experience with AI/ML platforms, automation tools (e.g., Automation Anywhere, Power Automate), and data analytics ecosystems (Azure, AWS, GCP, Databricks, Snowflake, etc.)
- Previous success in working in a matrix reporting, dynamic and fast-paced environment.
- Bachelor’s or master’s degree in computer science, Information Systems, or related field.
- Experience designing architectures for cloud-native data and AI platforms.
- Excellent stakeholder management, communication, and influencing skills across business and technology teams.
- Strong understanding of data governance, security, and compliance frameworks.
- Strong understanding of financial services regulations, data privacy, and cybersecurity standards.
- Experience working with Data platforms and technologies such as: Expertise in Databricks Lakehouse Platform, including Delta Lake, Unity Catalog, and ML flow.
- Experience integrating Databricks with Azure Synapse, ADF, and Power BI for end-to-end data and analytics pipelines.
- Deep understanding of data modeling, data governance, and data quality frameworks.
- Proficiency in real-time data processing (Spark, Kafka, Event Hubs).
- Familiarity with data cataloging and lineage tools (e.g., Purview, Collibra, Alation).
- Strong grounding in Azure landing zone design, identity and access management (Entra ID), and cloud networking.
- Problem-Solving: Strong analytical and troubleshooting skills with a solution-oriented mindset.
- Communication & Leadership: Ability to communicate technical solutions effectively to both technical and non-technical stakeholders.
Benefits
- Extended health care and dental benefits
- A retirement savings plan with company contributions
- A suite of Health & Wellness offerings
- Mental Health programs and support for you and your family
- Assistance for the completion of industry designations
- Competitive compensation
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