Data Platform Engineering Manager
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Job Summary
Work Location:
Toronto Ontario CanadaHours:
37.5Line of Business:
Technology SolutionsPay Details:
$115600 - $163200 CADTD 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. 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 base pay actually offered may vary based upon the candidates skills and experience job-related knowledge geographic location and other specific business and organizational needs.
As a candidate you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Job Description:
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 DataManagement 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.
KEY ACOUNTABILITIES
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 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.
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-drivenarchitectures 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.
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.
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.
Partnership & Stakeholder Engagement
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.
Employee / Team Accountabilities
Build and lead a high-performing team of data engineers platform engineers integration specialists andDataOpsprofessionals.
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.
EDUCATION & EXPERIENCE
Bachelors Degree in Computer Science Engineering Information Systems Software Engineering Data Science or a related discipline.
Masters Degree preferred in Computer Science Data Engineering Information Technology or a related field.
Relevant certifications preferred:
Databricks Data Engineer Professional
Azure Data Engineer Associate
AWS Data Analytics or Data Engineering Certification
Google Professional Data Engineer
Snowflake Kafka or Streaming Technology Certifications
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 ofDataOps 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.
Who We Are:
TD is one of the worlds leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day 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 95000 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 that is why 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.
Our Total Rewards Package
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. Learn more
Additional Information:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations requirements.
Colleague Development
If youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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 youre 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.
Were 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.
Training & Onboarding
We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.
Interview Process
Well reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation
Your accessibility is important to us. Please let us know if youd 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.
We look forward to hearing from you!
Language Requirement (Quebec only):
Sans ObjetRequired Experience:
Manager
