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TD Bank

Offers banking, loans, and wealth management.

Data Platform Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaCA$115.6k - CA$163.2kIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Information Systems, Software Engineering, Data Science, or a related discipline is required.
  • Eight to twelve or more years of experience in data engineering, data platform delivery, software engineering, cloud data platforms, or related technology roles are required.
  • Five or more years leading engineering or platform teams in large enterprise environments are required.
  • Proven experience designing and implementing enterprise data lakes, data fabrics, or cloud-native data platforms such as Databricks is required.
  • Strong experience building APIs, event-driven architectures, streaming platforms, and modern integration solutions is required.
  • Hands-on experience developing scalable ETL/ELT pipelines and data transformation frameworks is required.
  • Experience with cloud ecosystems including Azure, AWS, or Google Cloud is required.
  • A strong understanding of DataOps, observability, monitoring, automation, and platform operations is required.
  • Experience supporting enterprise reporting, analytics, AI, and machine learning use cases through modern data platforms is required.
  • Experience working in highly regulated organizations with strong governance, security, and compliance requirements is required.
  • Strong stakeholder management, communication, and leadership skills are required.

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.

Desired Qualifications

  • A master's degree in Computer Science, Data Engineering, Information Technology, or a related field is preferred.
  • Databricks Data Engineer Professional certification is preferred.
  • Azure Data Engineer Associate certification is preferred.
  • AWS Data Analytics or Data Engineering certification is preferred.
  • Google Professional Data Engineer certification is preferred.
  • Snowflake, Kafka, or streaming technology certifications are preferred.
  • ITIL Foundation certification is preferred.

About the Company

TD Bank

Offers banking, loans, and wealth management.

TD Bank provides a wide range of banking and financial services in North America for individuals, businesses, and corporations. Core offerings include checking and savings accounts, credit cards, loans, mortgages, investment products, and wealth management. TD Bank emphasizes digital banking through online and mobile apps that let customers manage money, pay bills, deposit checks, transfer funds, and manage cards. Revenue comes from interest on loans, service fees, and investment income. The company differentiates itself with a broad product lineup, large North American footprint, and integrated services for both personal and business customers, plus a focus on digital accessibility. Its goal is to be a leading, accessible financial institution that helps customers manage and grow their money through convenient, everyday banking and investment solutions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1955

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