Principal Data Integration Engineer

Scotiabank • Toronto, ON

1d • Onsite

About The Position

Join a purpose-driven, high-performing team committed to innovation and impact. We are seeking a visionary Principal Integration Engineer with strong expertise in integration architecture, microservices, and Java-based platforms to lead the evolution of our enterprise data ecosystem. This role is pivotal in shaping a modern, API-driven, event-based architecture that integrates data, AI, and business systems at scale—ensuring resilience, flexibility, and operational excellence.

Requirements

• 10+ years of experience in data engineering, with strong expertise in integration architecture and microservices design.
• Deep hands-on experience with Java (Spring Boot, Spring Cloud) and building high-performance distributed systems.
• Proven ability to design event-driven and API-first architectures at enterprise scale.
• Strong experience with streaming technologies (Kafka, Pub/Sub) and asynchronous integration patterns.
• Expertise in building end-to-end data platforms supporting AI/ML use cases, including RAG and feature stores.
• Experience integrating across heterogeneous systems (legacy, cloud, SaaS) using modern integration frameworks.
• Strong knowledge of containerization (Docker), orchestration (Kubernetes), and service mesh architectures.
• Familiarity with API management, security (OAuth, JWT), and gateway solutions.
• Deep understanding of data quality, governance, lineage, and regulatory compliance frameworks.
• Strong cloud experience across Azure and GCP, with emphasis on distributed, cloud-native design.
• Demonstrated leadership in cross-functional architecture initiatives and engineering excellence.
• A track record of mentoring and leading high-performing engineering teams.

Responsibilities

• Define and drive the enterprise data engineering vision, with a strong focus on microservices-enabled and event-driven architectures.
• Lead the design and implementation of scalable data platforms and integration layers using Java-based microservices frameworks (e.g., Spring Boot, Spring Cloud).
• Design and implement enterprise integration patterns (API gateways, service mesh, message queues, orchestration frameworks).
• Build loosely coupled, reusable data services to expose data assets across domains in a secure and governed manner.
• Partner with AI/ML teams to enable scalable data delivery for model training, RAG pipelines, and intelligent agents.
• Champion secure API design, zero-trust architecture, and compliance best practices across distributed systems.
• Lead the adoption of DevOps and CI/CD pipelines for microservices, including containerization (Docker) and orchestration (Kubernetes).
• Mentor senior engineers and influence architecture governance and engineering standards across the organization.

Benefits

• Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
• Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
• Free tea & coffee, universal washrooms, and lots of space for team collaboration.
• Opportunities for community engagement & belonging with our various programs such as hackathons.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed