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About the Role

This role leads the design, building, and operation of the enterprise technology reference data platform, serving as the foundation for technology governance, reporting, analytics, metrics, and decision-making. It involves leading the onboarding, integration, transformation, and delivery of technology data into a Databricks-based data fabric.

Responsibilities

Lead the design, implementation, and evolution of the Databricks-based technology reference data platform.
Develop platform standards, engineering patterns, and operating procedures that support enterprise scalability and sustainability.
Establish a modern data ecosystem capable of supporting governance, reporting, analytics, and AI-driven use cases.
Drive platform modernization initiatives that improve performance, automation, resilience, and user experience.
Lead onboarding of technology systems of record into the enterprise data platform.
Design and implement scalable integration patterns including APIs, event-driven architectures, data streaming, and zero-copy data sharing.
Establish standards for source system connectivity, transformation, validation, and data movement.
Partner with source system owners to ensure data is delivered accurately, securely, and efficiently.
Design, build, and manage data pipelines that transform disparate source data into standardized enterprise data assets.
Develop reusable ingestion and transformation frameworks that accelerate onboarding of new data sources.
Implement automated controls to ensure data quality, integrity, completeness, and consistency.
Optimize data processing and storage solutions to support large-scale technology data domains.
Establish monitoring and observability capabilities to ensure platform health and data reliability.
Define operational support processes, service-level agreements, and issue management procedures.
Lead remediation efforts for data delivery issues, performance bottlenecks, and platform incidents.
Ensure platform availability, resiliency, and business continuity requirements are met.
Ensure compliance with enterprise security, data protection, and regulatory requirements.
Implement access controls, encryption standards, audit logging, and monitoring capabilities.
Partner with Risk, Security, and Compliance teams to support governance objectives.
Ensure adherence to enterprise technology and data management standards.
Support development and operationalization of technology data products.
Ensure data products are sourced from authoritative systems and delivered through governed engineering processes.
Build reusable data services supporting reporting, analytics, APIs, and business intelligence platforms.
Enable self-service access to trusted enterprise technology data where appropriate.
Partner with Data Architecture, Governance, Reporting, and Business Intelligence teams to deliver integrated solutions.
Collaborate with Infrastructure, Cybersecurity, Cloud, Engineering, and Enterprise Architecture teams.
Participate in enterprise governance forums and provide technical leadership on platform capabilities and integration approaches.
Influence platform and engineering decisions that improve enterprise data maturity.
Build and lead a high-performing team of data engineers, platform engineers, integration specialists, and DataOps professionals.
Establish clear team objectives, performance measures, and development plans.
Foster a culture of accountability, innovation, automation, and continuous improvement.
Manage team capacity, prioritization, resource allocation, and delivery commitments.
Ensure engineering teams follow enterprise standards, controls, and best practices.
Develop technical talent and mentoring programs to strengthen engineering capabilities.
Promote collaboration across architecture, governance, analytics, and technology teams.

Requirements

8-12+ years of experience in data engineering, data platform delivery, software engineering, cloud data platforms, or related technology roles.
5+ years leading engineering or platform teams in large enterprise environments.
Proven experience designing and implementing enterprise data lakes, data fabrics, or cloud-native data platforms such as Databricks.
Strong experience building APIs, event-driven architectures, streaming platforms, and modern integration solutions.
Hands-on experience developing scalable ETL/ELT pipelines and data transformation frameworks.
Experience with cloud ecosystems including Azure, AWS, or Google Cloud.
Strong understanding of DataOps, observability, monitoring, automation, and platform operations.
Experience supporting enterprise reporting, analytics, AI, and machine learning use cases through modern data platforms.
Experience working in highly regulated organizations with strong governance, security, and compliance requirements.
Excellent stakeholder management, communication, and leadership skills.

Skills

Databricks
APIs
Event-driven architectures
Data streaming
Zero-copy data sharing
ETL/ELT pipelines
Data transformation frameworks
Azure
AWS
Google Cloud
DataOps
Observability
Monitoring
Automation
Platform operations
Reporting
Analytics
AI
Machine learning

Location

Toronto, Ontario, Canada

Work Type

Full-time

Experience Level

Manager
8-12+ years of experience
5+ years of leadership experience

Education Level

Bachelor's Degree in Computer Science, Engineering, Information Systems, Software Engineering, Data Science, or a related discipline.
Master's Degree preferred in Computer Science, Data Engineering, Information Technology, or a related field.
Databricks Data Engineer Professional certification preferred.
Azure Data Engineer Associate certification preferred.
AWS Data Analytics or Data Engineering Certification preferred.
Google Professional Data Engineer certification preferred.
Snowflake, Kafka, or Streaming Technology Certifications preferred.
ITIL Foundation certification preferred.

Salary/Compensations

$115,600 - $163,200 CAD

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs
Training programs
Competitive benefits plan

About the Company

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.
We strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world.
More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience.
TD is deeply committed to being a leader in client experience.
We believe that all colleagues, no matter where they work, are client facing.
Together, we are reimagining what banking can be for our clients, colleagues and communities.

Equal Opportunity

TD is committed to providing fair and equitable compensation opportunities to all colleagues.
Growth opportunities and skill development are defining features of the colleague experience at TD.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals.
Here at TD, we hire and develop the best.
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.