Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$108,800 - $163,200 CAD

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. 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 candidate's 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:

About This Role: We are looking for a senior technical lead to provide technical leadership and expertise within data management. In this role, you'll architect and optimize data solutions that drive critical business decisions and to provide thought leadership and insights on emerging data management solutions.

Key Responsibilities:

• Provide end to end leadership on key data initiatives to ensure the success of these initiatives within TD's scaled Agile delivery model.
• Lead design reviews, code reviews across PODs and to ensure that all activities support a secure and stable solution.
• Lead a team of data engineers, providing technical guidance and mentoring to enhance their skills.

• When needed develop code to implement complex solution frameworks, or address issues/challenges with an implementation.
• Define detailed system design for data integration processes or data marts/warehouse builds or extensions.
• Work across PODs, roles and stakeholders to remove blockers and enable PODs to deliver optimally.

• Lead the design and implementation of scalable ETL pipelines on Azure, ensuring data quality, reliability and performance.
• Develop and manage data infrastructure in Azure, including Azure Data Factory, Databricks, Data Lake and SQL Data Warehouse.
• Automate ETL processes and optimize data workflows to reduce processing time and operational costs.
• Implement data governance best practices, including data lineage, metadata management and data quality controls to ensure compliance with industry regulations.
• To manage, coordinate delivery efforts across pods. Support data warehouse, Big Data environments by guiding stakeholders on requirements and implementation approaches.
• Review and approve business and system specification requirements, author system design specifications, create or review estimates, contribute to and review system deployment plans
• Work with architecture experts to create solutions that meet data management standards

• Lead triage activities and drive immediate and long-term resolutions. 

• Actively contribute to our knowledge management system.
• Stay updated with the latest advancements in Azure services and data engineering best practices, and introduce new technologies and methodologies to the team.

Qualifications:

• 10+ Years of experience in data engineering with a focus on ETL pipeline development and at least 2 years working with Azure Cloud.

• Extensive experience in data warehousing concepts and implementation.
• Excellent, executive level, communication skills with the ability to build positive relationships across teams.
• Expertise in ETL and data movement, including relational and big data.
• Experience working in large scale Enterprise Data Lake ingestion and curation projects.
• Strong analytical and problem-solving skills; Experience with Production Support to investigate issues and resolution.
• Ability to analyze, organize and prioritize work while meeting multiple deadlines.
• Ability to work cooperatively and independently as part of a Scaled Agile pod.
• Act as a brand champion for our business area / function and TD, both internally and externally.
• Strong expertise in one or more of the following:
  • PySpark/Spark.
  • Python (Pandas, Numpy, Scikit-learn)
  • Scala/Java
  • Azure, including: Azure DataBricks, Azure Synapse/SQL Server, Azure Data Factory (ADF) and Orchestration.
• Full working experience in Source-code versioning/promotion tools, e.g. Git/Jenkins. Nexus.
• Experience with Agile concepts and the Atlassian stack (JIRA, Confluence, Stash, GIT) and Jenkins/Nexus.

Good to have:

• Microsoft Azure/Databricks certified preferred.
• Insurance, Banking and finance domain knowledge and working experience preferred.
• Bilingual a benefit.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

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:
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.

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 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. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.
 

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll 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 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.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet