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Added 3 months ago
U
Senior AI Data Developer
Ubisoft
Montreal, QC
- Full-time
Ability to use various tools and programming languages (e.g., Python, SQL, Bash) to integrate systems.
Added 3 months ago
G
Testeur(euse) logiciel / Software Tester - Digital Information
Genetec
Remote, Canada
- Full-time
- Remote
Expérience en programmation en Java, Groovy, Python ou équivalent
Added 3 months ago
TI
Senior Data Analyst
Teranet Inc.
Toronto, ON
- $106,040 to $114,400 CAD / year
- Full-time
Strong proficiency in SQL, Python, and Excel is required
Added 5 months ago
A
AI Full Stack Developer
Avanade
Toronto, Ontario
- Full-time
Familiarity with SQL and NoSQL databases (e.g. SQL Server, Cosmos DB).
Added 5 months ago
P
Forward Deployed Engineer - Remote Canada
Pulsora
Remote, Canada
- $60,000 to $70,000 CAD / year
- Full-time
- Remote
Hands-on experience with Python, JavaScript / TypeScript, SQL, REST APIs, integrations, and analytics platforms
Added 5 months ago
QA
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
- Full-time
Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
Added 1 month ago
P
Toronto Technology Audit & Advisory (Financial Services) Senior Consultant
Protiviti
Toronto, ON
- Full-time
The Protiviti Career provides opportunity to learn, inspire, and advance within a collaborative and inclusive culture. We hire curious individuals for whom learning is a passion. We lean…
Added 1 month ago
P
Toronto Technology Audit & Advisory (Financial Services) Manager
Protiviti
Toronto, ON
- Full-time
The Protiviti Career provides opportunity to learn, inspire, and advance within a collaborative and inclusive culture. We hire curious individuals for whom learning is a passion. We lean…
Added 2 months ago
N
Lead Data Engineer
Nasdaq
Toronto, ON
- Full-time
Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark.
Added 1 month ago
Senior Actuarial Analyst
Aviva
Markham, ON
Proficient in Microsoft Excel. Knowledge of Python and SQL
Added 3 months ago
RC
Senior Quality Assurance Software Developer – Analytics
Ribbon Communications
Montreal, QC
- Full-time
Ribbon Communications is looking for a quality assurance software developer to assist in the test coverage of features on Ribbon Analytics. Ribbon Analytics is a big data Network Analytics…
Added 4 months ago
M
Principal Software Engineer
Morningstar
Toronto, ON
- Full-time
SQL & Programming: Expert proficiency in SQL (Postgres, SQL Server, etc) and strong development skills in Python (Python 3.x).
Added 3 months ago
M
Systems Engineer
Moneris
Toronto, ON
- Full-time
Familiarity with Cisco Application Centric Infrastructure (ACI), Palo Alto Networks firewalls, SQL Server AlwaysOn HA, and active/active designs.
Added 3 months ago
M
Software Engineer – Ground Systems / Operations
MDA
Saint-Bruno-de-Montarville, QC
- Full-time
Building the space between proven and possible, MDA Space (TSX:MDA) is a trusted mission partner to the global space industry. A robotics, satellite systems and Geointelligence pioneer with…
Added 3 months ago
CG
AI Solutions Engineer
CSC Generation
Toronto, ON
- Full-time
Write scripts (Python, JavaScript/TypeScript) and design AI workflows using platforms like Claude and ChatGPT alongside workflow automation tools (n8n, Zapier, Make, or similar).
Added 1 month ago
G
Python Developer
Genpact
Montreal, QC
- Full-time
We are seeking an experienced Python Developer to build scalable, secure, and high-performance banking and trading applications supporting critical financial systems.
Added 1 month ago
BC
Financial Systems Specialist
Blake, Cassels & Graydon LLP
Toronto, ON
- Full-time
Working knowledge of SQL scripts, Python, VB, Power Automate, Power BI, SSIS and SSRS
Added 2 months ago
KS
Data Engineer
Kumaran Systems
Toronto, ON
- Full-time
Design and build reporting datasets in Databricks using SQL and Delta tables.
Added 1 month ago
C
Gen AI Python Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
We are looking for a Python Developer (Applications Development Sr Programmer Analyst - C12) with hands-on experience developing Gen AI solutions. As a developer, you will leverage your…
Added 5 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 CAD / year
- Full-time
Experience with relational databases (PostgreSQL, MySQL, Oracle) and writing efficient SQL queries, schema design, and performance optimization
Added 5 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Strong SQL skills for data extraction and manipulation
Added 5 months ago
T
Professional Services Consultant
TradingHub
Toronto, Ontario
- Full-time
Hands-on skills in a programming/scripting language such as SQL, Python, C#
Added 5 months ago
DC
Software QA Specialist - Intermediate
Delta Controls
Surrey, British Columbia
- Full-time
Proficiency with SQL and understanding of relational database systems.
Added 5 months ago
BP
Financial Planning & Analysis Analyst
BNP Paribas
Montreal, Quebec
- Full-time
Digital tools: Excellent IT skills, including experience with data processing tools such as Alteryx or SQL, and creating reports using Business Intelligence tools (SQL, Server Analysis,…
Added 5 months ago
LI
Python Developer
LanceSoft, Inc.
Montreal, Quebec
- Contract
Strong Python and Perl programming skills, writing secure, testable, robust code.

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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