Cloud Data Engineer - BI Integration Specialist

TD; Canada; On-site; CAD 126,000 - 165,000; Full time

Job summary

A leading financial services company seeks a Cloud Data Engineer – BI Integration Specialist in Toronto to enhance their BI system architecture. With 6-8 years of experience, you will collaborate with business analysts to define standards for data visualization and maintain systems. Preferred skills include proficiency in Java and hands-on experience with Databricks and BI tools like Tableau and Power BI. This role offers competitive compensation and encourages professional growth.

Benefits

Discretionary variable compensation

Growth opportunities

Skill development programs

Qualifications

• 6-8 years of experience required.
• Multi-year experience with cloud platforms (Azure and GCP preferred).
• Familiarity with data warehouses and data lakes.

Responsibilities

• Design and document BI system architecture.
• Work with analysts and architects to meet system design requirements.
• Define standards for data visualization and access.

Skills

Strong Computer Science background

BI tools integration

Hands-on experience with Databricks

Proficient in Java

Experience with streaming technologies

Tools

Tableau

Power BI

Kafka

Apache Flink

Apache Spark

Job description

Work Location: Toronto, Ontario, Canada

Hours: 37.5

Line of Business: Technology Solutions

Pay Details: $126,800 - $164,100 CAD

This role is eligible for a discretionary variable compensation award that considers business and individual performance.

TD is committed to fair and equitable compensation opportunities for all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices allow colleagues to progress through the salary range over time as they progress in their role. The base pay 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.

Department Overview

TD Securities offers a wide range of capital markets products and services to corporate, government and institutional clients who choose us for our innovation, execution and experience. With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry‑leading insight, extending access to global markets, and delivering integrated transaction banking solutions.

TDS Data Platform is a self‑service data platform for TD Securities. It aims to democratize data access across TD Securities.

About This Role

We are currently seeking a Cloud Data Engineer – BI Integration Specialist to join our expanding team of engineers. The ecosystem is comprised of applications, microservices, vendor tools and more, and is responsible for the storage, enrichment and distribution of data across teams using complex batch and stream processing along with enterprise integration patterns. The objective is to provide business users with a self‑service BI platform for analytics and reporting in real‑time or near real‑time, well integrated with the data platform.

The role will include the following major responsibilities:

• Design and document BI system architecture with a focus on data governance concerns such as data lineage, cataloging, access policies, data privacy and scalability/performance.
• Work with Business Analysts / Systems Analysts, Enterprise Architects, other technology developers / solution designers to ensure that the system design meets the application requirements and performance goals.
• Define standards for data visualization, semantic modeling, dashboarding and data access.
• Contribute to data and BI roadmaps, evaluating emerging tools and practices.
• Provide code maintenance and support during testing cycles and post‑production deployment and participate in reviewing peer code.
• Perform unit and integration testing for conformance to technology architecture standards and adherence to design specifications.
• Support business enquiries and business activities through execution of small enhancements and break/fix implementations.

Job Requirements

What can you bring to TD? We look for credentials that demonstrate relevant experience and knowledge. It helps if you have:

• 6‑8 years of experience.
• Strong Computer Science (or equivalent) background with a good understanding of design patterns, enterprise integration patterns, programming paradigms and architecture.
• Multi‑year (2+) experience with cloud platforms (Azure and GCP preferred).
• Experience with BI tools and BI tool integration (e.g., Tableau, Power BI, Sigma) in conjunction with data platforms (Databricks, Snowflake).
• Hands‑on experience with Databricks (Delta Lake, Workflows, Unity Catalog).
• Familiarity with data warehouses, data lakes, data mesh, data lakehouse, etc.
• Proficient in Java (8/11/17) and Java application frameworks (Spring Boot, Quarkus). Other JVM‑based languages (e.g., Scala) are a plus.
• Experience with streaming (e.g., Kafka) and stream processing engines such as Apache Flink / Apache Spark.
• Experience working with relational and/or NoSQL databases (MSSQL, Oracle, MongoDB, Redis, Riak, Cassandra, etc.) is desirable.
• Familiarity with tools for managing software delivery and prioritization, e.g., Confluence, JIRA, Trello, BitBucket.

Additional Information

• Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
• Learn voraciously, stretch your thinking, share your knowledge and educate others.
• Communicate and collaborate with both technical and non‑technical professionals.
• Cultivate winning relationships by building trust with business and technology partners.
• Share our commitment to productivity, effectiveness and operational efficiency.

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!