Architect, Enterprise Integration & Data Connectivity
HybridToronto, Ontario, Canada
Job Summary
Define and execute the firm's integration strategy while establishing scalable patterns across APIs, event-driven systems, and data pipelines. Lead the design and delivery of complex integrations across internal systems and external partners, overseeing onboarding of data providers and vendors. Provide technical leadership across the full solution lifecycle, including timely production support for ETL deliverables and mentoring developers to promote engineering best practices. Enable seamless integration with the central data platform and drive adoption of modern cloud-based integration services and AI-assisted development practices. Serve as the point of contact for integration discussions with stakeholders and vendors, communicating trade-offs and recommendations across business and technology teams.
Required Qualifications
- 10+ years of experience in enterprise integration, data engineering, enterprise applications, distributed systems, or related disciplines
- Strong experience in financial services environments, preferably in private market investments
- Hands-on expertise with API design and enterprise integration patterns
- Hands-on expertise with Event-driven architecture
- Hands-on expertise with Data pipelines, ETL, and ELT solutions
- Hands-on expertise with Cloud-based integration platforms and services
- Experience designing and supporting both real-time and batch-based integrations
- Proven ability to lead complex cross-functional initiatives and drive technical delivery
- Strong communication, collaboration, and stakeholder management skills
- Demonstrated ability to balance strategic planning with hands-on execution
Desired Qualifications
- Experience with Microsoft Azure services including Data Factory, Functions, Blob Storage/Data Lake, API Management, Azure SQL, or SQL Managed Instance
- Experience integrating SaaS platforms, external vendors, and third-party data providers
- Exposure to Microsoft Fabric and modern data platform architectures
- Experience leveraging AI-assisted development tools and automation technologies
- Familiarity with investment, portfolio, or financial data platforms
- Experience mentoring developers, integration engineers, or technical teams
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