Jobs in Canada

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Added 2 months ago
(Bilingual - Spanish) Manager, Process Analysis & Transformation, Regional International Banking
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Toronto, Ontario · Windsor, Ontario
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Project Engineer/Senior Specialist, Project Engineering
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Mississauga, Ontario · CAN - ON - Mississauga - Meadowpine Blvd
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Manager, Data Engineer
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Toronto, Ontario · Brookfield Place
- Full-time
…pivotal role, you will harness your extensive expertise in data engineering, particularly with platforms like Databricks and Snowflake, to spearhead the design, implementation, and…
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Brookfield Asset Management

Manager, Data Engineer

Toronto, ON, Canada
Brookfield Place, Canada

Salary Range: $120,000 - $140,000 CAD · Full-time

Apply on brookfield.wd5.myworkdayjobs.com About employer

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Job details

Pay: Salary Range: $120,000 - $140,000 CAD
Job type: Full-time
Experience: 5+ years of hands-on experience in data engineering and optimization with significant exposure to data platforms such as Snowflake, Databricks and/or other data platforms.
Posting language: English
Posted: Jun 23, 2026

Original job description

Location

Brookfield Place - 181 Bay Street

Technology Services

Technology Services (TS) is responsible for delivering all enterprise infrastructure, applications and related end user technology services across all Brookfield business groups.

Brookfield Culture

Brookfield has a unique and dynamic culture. We seek team members who have a long-term focus and whose values align with our Attributes of a Brookfield Leader: Entrepreneurial, Collaborative and Disciplined. Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse businesses.

Job Description

Job Title: Manager, Data Engineer

Location: Toronto

Reports To: Director of Data Analytics

We are looking for a motivated Manager, Data Engineer, to ensure the delivery of innovative data solutions that align seamlessly with our business objectives. In this pivotal role, you will harness your extensive expertise in data engineering, particularly with platforms like Databricks and Snowflake, to spearhead the design, implementation, and optimization of our data models. The ideal candidate will possess profound technical acumen, exceptional communication skills to engage with senior stakeholders, and an unwavering passion for tackling complex data challenges.

What You Will Do:

Design and implement scalable data models and architectures within cloud data platforms like Databricks or Snowflake to support analytics and business intelligence initiatives.
Design and implement ETL/ELT processes between various sources into Snowflake and/or Databricks platforms, ensuring high performance and reliability.
Implement data validation and cleansing processes to ensure data accuracy and integrity.
Migrate existing data infrastructure to Snowflake, ensuring optimal performance and scalability.
Assess risks associated with data pipelines and identify potential issues proactively to minimize business impact.
Identify opportunities using data-driven approach and lead data engineering projects that deliver value to the business.
Identify areas for optimization within existing data workflows and processes, and devise plan to execute improvements for operational efficiency
Work closely with business stakeholders to understand requirements and formulate data-driven solutions that address business needs.
Work with end users or data scientists to develop automated workflows for key reporting processes, and develop governance and controls for underlying data and processes
Communicate data engineering processes, architecture and technical solutions to business stakeholders and management
Collaborate with cross-functional teams to ensure alignment between data engineering initiatives and broader technological and business objectives.
Optimizing database schemas and performance for reading and writing of data and upstream processing in the reporting system
Working with business end users on maintaining systems to enable ad-hoc or periodic analytics and cashflow runs in production
Provide technical guidance and support to junior data engineers and business power users.

Qualifications and Skills

A Bachelor's degree in Computer Science, Information Management, Data Analytics or related discipline.
5+ years of hands-on experience in data engineering and optimization with significant exposure to data platforms such as Snowflake, Databricks and/or other data platforms.
Hands-on experience with data orchestration and workflow management using tools such as Workato or other similar platforms.
Proven expertise in ETL/ELT, data modeling, data warehousing, data Lakehouse concepts with extensive experience with SQL and Python programming.
Using best practice data frameworks like Data Centric Development Frameworks or Medalion Architecture when onboarding data, ensuring structures and efficient data integrations processes.
Strong understanding of RESTful APIs and experience in integrations of various data sources and services.
Familiarity or experience in source code management and continuous integration practice using Azure DevOps.
Strong analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities
Ability to assess and manage risks within data workflows and implement effective mitigation strategies.
Strong communication skills, with the ability to collaborate effectively with cross-functional teams
Relevant certification in Snowflake and or Databricks is a plus.
Familiarity with data governance frameworks and ensuring compliance with data protection regulations
Familiarity with integrating learning models into data pipelines and understanding their infrastructure requirements
Familiarity or experience with Investment management business domain, specifically in terms of data modelling across Public and Private asset classes (nice to have)
Experience in designing and developing interactive data applications using Streamlit and Databricks Apps to improve data accessibility and user experience.
Implement and support Databricks Genie and platform capabilities, including automation, governance, security, and production support.

Salary Range: $120,000 - $140,000 CAD

Position Opening Reason:

New Position

Brookfield is committed to maintaining a Positive Work Environment that is safe and respectful; our shared success depends on it. Accordingly, we do not tolerate workplace discrimination, violence or harassment.

Brookfield is committed to creating an accessible and inclusive organization. We are committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act. Should you require a Human Rights Code-protected accommodation through any stage of the recruitment process, please make them known when contacted and we will work with you to meet your needs.

Apply on brookfield.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

Design and implement scalable data models and ETL/ELT processes using Databricks and Snowflake to support business intelligence. Collaborate with stakeholders to optimize data workflows and provide technical guidance to junior engineers.

Requirements

Requires a Bachelor's degree in Computer Science or a related field and over 5 years of experience in data engineering. Proficiency in SQL, Python, and cloud data platforms is essential.

Skills

Data Engineering
Databricks
Snowflake
ETL/ELT
SQL
Python
Data Modeling
Data Warehousing
Workato
RESTful APIs
Azure DevOps
Streamlit
Data Lakehouse
Medallion Architecture
Data Governance
Cloud Data Platforms

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Snowflake
SQL
Python
ETL
ELT
Data Modeling
Data Lakehouse
Workato
RESTful APIs
Azure DevOps
Streamlit
Medallion Architecture
Data Governance
Investment Management
Cloud Infrastructure
Data Validation
Data Cleansing
Business Intelligence
Data Pipelines

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Jobs in Canada