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Added 1 month ago
T
Sr. Full Stack Data Science Engineer
TD
Toronto, ON · Montreal, QC
- Full-time
Core Analytical Tools: Proficient in Python, PySpark, SQL, Power BI, and Databricks (or similar platforms) for data preparation, analysis, and collaboration.
Added 1 month ago
SG
Senior Machine Learning Engineer
Scientific Games
Toronto, ON · HR Toronto - Canada
- Full-time
We are looking for a Senior Machine Learning Engineer to help build the foundations of our machine learning platform from the ground up. This role is not about creating a centralized…
Added 2 months ago
EB
Senior Analyst, Credit Risk & Collections
EQ Bank
Toronto, ON
- Full-time
Proficiency with data management and reporting tools such as Python and SQL is required
Added 2 months ago
KC
Data Support Senior Consultant
KPMG Canada
Toronto, ON
- Full-time
…of technologies and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Added 2 months ago
KC
Data Support Senior Consultant
KPMG Canada
Vaughan, ON
- Full-time
…of technologies and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Added 2 months ago
KC
Data Support Senior Consultant
KPMG Canada
Regina, SK
- Full-time
…of technologies and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Added 2 months ago
KC
Data Support Senior Consultant
KPMG Canada
Edmonton, AB
- Full-time
…of technologies and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Added 2 months ago
KC
Data Support Senior Consultant
KPMG Canada
Calgary, AB
- Full-time
…of technologies and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Added 2 months ago
KC
Data Support Senior Consultant
KPMG Canada
Toronto, ON
- Full-time
…of technologies and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Added 2 months ago
KC
Data Support Senior Consultant
KPMG Canada
Vancouver, BC
- Full-time
…of technologies and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Added 1 month ago
FC
Business Intelligence Developer III
First Canadian Financial Group
Sherwood Park, AB
- Full-time
The Business Intelligence Developer III is a senior technical expert responsible for designing, developing, and optimizing data intelligence solutions that support strategic decision-making…
Added 2 months ago
C
Senior Azure Database Migration Specialist
CGI
Toronto, ON
- Full-time
We are seeking a highly experienced Senior Azure Database Migration Engineer to lead enterprise-scale database modernization initiatives focused on migrating Oracle databases to PostgreSQL…
Added 2 months ago
M
Senior Manager, Advanced Analytics
MNP
Edmonton, AB · AB · NS
- Full-time
Understanding of one or more is a big plus -CI/CD, cloud devops, containers (kubernetes/Docker, etc.), Python/PySpark/JavaScript;
Added 2 months ago
JI
Senior MLOps Engineer | Ingénieur·e MLOps senior
Jesta I.S.
Montreal, QC
- Full-time
We are looking for a Senior MLOps Engineer to design, build, and maintain the data and machine learning pipelines that power our AI and analytics platforms.
Added 2 months ago
EB
Senior Analyst, Credit Risk & Collections
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
Proficiency with data management and reporting tools such as Python and SQL is required
Added 1 month ago
Senior Machine Learning Engineer, Growth
HelloFresh
Toronto, ON
Expert programming skills in Python and PySpark.
Added 2 months ago
M
Senior Manager, Advanced Analytics
MNP
Ottawa, ON · Toronto, ON
- Full-time
Understanding of one or more is a big plus -CI/CD, cloud devops, containers (kubernetes/Docker, etc.), Python/PySpark/JavaScript;
Added 1 month ago
Data Engineer
Capgemini
Mississauga, ON
Expert level programming skills in Python and Pyspark specifically for developing Spark applications
Added 2 months ago
Senior Data Engineer
Talents LGS
Montreal, QC
As part of the growth of our Hybrid Cloud & Data practice (AI, Analytics & Data Services), we are looking for a Senior Data Engineer – Hybrid Cloud & Data to participate in the design,…
Added 2 months ago
TA
Senior Data Scientist - Operation Research
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
Added 1 month ago
Manager, Forecasting Models - Retail & Small Business (Contract until April 2027)
Scotiabank
Toronto, ON
…internal policies, and procedures. You will report directly to a Senior Manager or Director and be a critical member of the team developing the forward-looking probability of default (PD),…
Added 2 months ago
O
Senior Data Engineer
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Strong hands-on experience with Python, PySpark, and SQL.
Added 1 month ago
N
Lead Data Engineer
Nasdaq
Toronto, ON
- Full-time
Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark.
Added 3 months ago
M
Principal Software Engineer
Morningstar
Toronto, ON
- Full-time
This is a senior individual contributor role reporting to the Director of Technology. You will serve as a technical thought leader for a team of engineers - owning the end-to-end data…
Added 1 month ago
KS
Data Engineer
Kumaran Systems
Toronto, ON
- Full-time
We are looking for a hands-on Senior Analytics Engineer to help build and modernise enterprise reporting solutions on Data-bricks and Power BI.

Morningstar

Principal Software Engineer

Toronto, ON, M5H 3M7, Canada

$112,583.00-162,125.00 · Full-time

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Job details

Pay: $112,583.00-162,125.00
Job type: Full-time
Experience: Experience: 9+ years of experience in data engineering, data platforms, or distributed systems.
Posting language: English
Posted: Jul 6, 2026

Original job description

The Role

As a Principal Software Engineer on our Data Feed Platform team (Direct – Data & Research), you will partner with product owners and engineering teams to shape the technical direction of our data engineering capability. Together, you will migrate our file-based products to a unified, cloud-native data platform - architecting highly governed data pipelines, feed generation systems, and large-scale data delivery infrastructure.

This is a senior individual contributor role reporting to the Director of Technology. You will serve as a technical thought leader for a team of engineers - owning the end-to-end data platform architecture, from ingestion and transformation through to client-facing data products. You will define best practices for data governance, data modeling, performance optimization, and data reliability across the entire product lifecycle, while mentoring engineers and fostering continuous improvement within the data engineering discipline.

If your background is in data engineering, data platform development, or building production-grade data systems at scale, this role was designed for you.

Location: Toronto, ON (Hybrid-4 days in Office)

We intentionally prioritize in-person collaboration, as we've found it strengthens creative quality, alignment, and team momentum.

Job Responsibilities

Lead and provide deep technical direction across data feeds and the data engineering function, guiding architectural decisions across platforms.
Architect the platform consolidation strategy, migrating legacy feed products onto a unified, governed, cloud-native architecture.
Design and implement scalable data delivery mechanisms for both file-based feeds and modern marketplace distribution platforms.
Drive DataOps maturity by establishing comprehensive data quality, monitoring, alerting, and CI/CD practices across the platform.
Influence technical strategy across teams by communicating architectural vision to both technical and non-technical stakeholders.

Qualifications

Experience: 9+ years of experience in data engineering, data platforms, or distributed systems.
Cloud Expertise: Proven track record building and optimizing large-scale data pipelines on a major cloud platform (AWS preferred; Azure or GCP also accepted).
Data Processing at Scale: Strong experience with distributed or high-performance compute engines for large-scale data transformation. Familiarity with frameworks such as Spark/PySpark, DuckDB, or similar modern engines, and the ability to evaluate trade-offs between them for different workloads.
SQL & Programming: Expert proficiency in SQL (Postgres, SQL Server, etc) and strong development skills in Python (Python 3.x).
Data Warehousing: Strong hands-on experience with modern cloud data warehouses (e.g., Snowflake, Databricks, Redshift).
Technical Leadership: Demonstrated ability to influence engineering direction without direct management authority, mentor engineers, and drive alignment across teams.
Deployment: Experience with containerization (Docker, Kubernetes).
Cloud Storage: Hands-on experience with cloud object storage (AWS S3, Azure Blob Storage, or Google Cloud Storage).

Nice to Have (Experience & Tools)

Architecture: Knowledge of data lake and lakehouse architecture, including the implementation and use of open table formats like Delta Lake and Apache Iceberg.
Domain Knowledge: Previous experience in highly regulated or financial services industries with stringent data quality and delivery SLA requirements.
AI-Assisted Development: Experience using agentic coding tools (e.g., GitHub Copilot, Claude Code, Cursor) to accelerate development workflows.

Base Salary Compensation Range

$112,583.00-162,125.00

Incentive Target Percentage

20% Annual

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

100_MstarResCanad Morningstar Research, Inc. (Canada) Legal Entity

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More about this job

Responsibilities

Lead the technical direction and architecture for the migration of file-based products to a unified, cloud-native data platform. Define best practices for data governance, reliability, and performance while mentoring engineering teams.

Requirements

Requires 9+ years of experience in data engineering or distributed systems with expert proficiency in Python, SQL, and major cloud platforms. Must have a proven track record of building large-scale data pipelines and leading technical strategy without direct management authority.

Skills

Data Engineering
Cloud Architecture
Python
SQL
Spark
PySpark
Snowflake
Databricks
Redshift
Docker
Kubernetes
Data Governance
Data Modeling
CI/CD
Distributed Systems
Technical Leadership

Benefits

Incentive Target Percentage
Flexible benefits

Visa sponsorship

Not detected in the job text

Keywords

Data Feed Platform
Cloud-Native
Data Pipelines
DataOps
AWS
Azure
GCP
DuckDB
Postgres
SQL Server
S3
Blob Storage
Data Lake
Lakehouse
Delta Lake
Apache Iceberg
Financial Services
GitHub Copilot
Claude Code
Cursor
Distributed Compute
Data Delivery
Data Transformation
Containerization
SLA
Data Quality

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