Technology Solutions 115,600 - $163,200 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role.

The Data Platform Engineering

Manager role is responsible for designing, building, and operating the enterprise technology reference data platform that serves as the foundation for technology governance, reporting, analytics, metrics, and decision-making. Reporting to the Head of Technology Data Management, this role leads the onboarding, integration, transformation, and delivery of technology data from infrastructure, cyber, cloud, AI, and enterprise systems into a Databricks-based data fabric. The role is accountable for establishing scalable data ingestion patterns, integration frameworks, platform engineering standards, and operational controls that ensure technology data is accurate, accessible, reliable, secure, and consumable.

This position plays a critical leadership role in enabling enterprise-wide data products, dashboards, KPIs, risk reporting, and operational insights through modern data engineering and platform capabilities.

Data Platform

Strategy &

• Enablement 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 contemporary 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. Data Ingestion &

• System Onboarding 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. Data Engineering &

• Transformation 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. Data Operations &





• Reliability Establish monitoring and observability capabilities to ensure platform health and data reliability. Lead remediation efforts for data delivery issues, performance bottlenecks, and platform incidents. Data Security, Controls &

• Compliance 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. Enablement of Data Products 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. Ensure engineering teams follow enterprise standards, controls, and best practices. Develop technical talent and mentoring programs to strengthen engineering capabilities. 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 Azure Data

Engineer Associate AWS Data Analytics or Data Engineering Certification Google Professional Data Engineer ITIL Foundation ~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. ~ TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total

Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals.

Total

Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

Here at TD, we hire and develop the best. Training & Onboarding We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. We do our best to communicate outcomes to all applicants by email or phone call.

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.

Language

Requirement (Quebec only)

📌 Data Engineer Manager (Toronto)
🏢 Socket.dev
📍 Toronto