Senior Data Engineer ( Snowflake/ dbt/ AWS)

TEEMA Solutions Group; Toronto; Hybrid; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

Downtown Toronto office

Job summary

TEEMA Solutions Group is seeking a Senior Data Engineer in Toronto to own end-to-end data initiatives within a Data & Analytics team. The role requires hands-on expertise with modern cloud platforms (Databricks, Snowflake) and strong data architecture skills.

You will lead data migrations, design robust pipelines, and mentor teammates, all while delivering production-ready solutions for business analytics and decision-making.

Qualifications

• Senior autonomous role with end-to-end ownership of data initiatives.
• Deep, hands-on expertise across the full data lifecycle from ingestion to production-ready solutions.
• Strong system-level thinking for scalable data architectures.
• Ownership mindset and responsibility for delivery, quality, and production performance.
• Experience in Canadian business environments (financial services / wealth management).
• Ability to build modern data pipelines enabling analytics and data-driven products.

Responsibilities

• Support data migrations to modern cloud platforms (Snowflake / AWS / Databricks).
• Partner with business stakeholders to translate requirements into scalable data solutions.
• Design and implement robust data architectures and workflows.
• Build and maintain ETL/ELT pipelines across multiple data sources.
• Develop high-performance, scalable data pipelines for analytics and reporting.
• Troubleshoot production issues ensuring data reliability and system stability.
• Implement data governance, lineage, and observability best practices.
• Mentor junior team members and contribute to a high-performing team environment.

Skills

Data modeling

Data pipelines

System design

Leadership

Stakeholder management

Education

University degree

Tools

AWS Glue

EMR

Lambda

Airflow

CRON

Step Functions

AWS S3

SFTP

Git

Jenkins

Terraform

CloudFormation

Job description

We are hiring a Senior Data Engineer to join a high-impact Data & Analytics team supporting enterprise data platforms. This is a hands-on role for someone who can own end-to-end data initiatives, from design through deployment, and build scalable data solutions that drive business insights and decision-making. What We’re Looking For is hands-on practical knowledge with modern cloud data platforms (Databricks, Snowflake). In particular, we are looking for candidates who demonstrate the following:

True senior-level autonomy – ability to independently own and lead complex data initiatives end-to-end with minimal oversight

Deep, hands-on expertise across the full data lifecycle – including source systems, ingestion, transformation, data modeling, orchestration, and downstream consumption, with full accountability for production-ready solutions

Strong system-level thinking – able to design scalable, reliable data architectures beyond just tools and frameworks

Ownership mindset – takes responsibility for delivery, quality, and performance in production environments

Experience working within Canadian business environments ( financial services / Asset Mgmt. Wealth Mgmt.)

You will play a key role in building modern data pipelines, enabling analytics, and supporting data-driven products.

What You’ll Do

Support data migrations to modern cloud platforms (Snowflake / AWS / Databricks)

Partner with business stakeholders and data teams to gather and translate requirements into scalable solutions

Design and implement robust data architectures and workflows

Build and maintain ETL/ELT pipelines across multiple data sources

Develop high-performance, scalable data pipelines for analytics and reporting

Troubleshoot production issues and ensure data reliability and system stability

Implement data governance, lineage, and observability best practices

Mentor junior team members and contribute to a high-performing team environment

6+ years in Data Engineering

Strong experience with:

ETL tools: AWS Glue, EMR, Lambda

Scheduling: Airflow, CRON, Step Functions

Storage: AWS S3, SFTP

CI/CD: Git, Jenkins, Terraform, CloudFormation

What We’re Looking For

Canadian University degree

Strong understanding of modern data architecture & pipeline design

Experience building scalable, production-grade data systems

Solid experience with data observability and lineage

Proven ability to own projects end-to-end

Strong communication and stakeholder collaboration skills

Nice to have: Experience in financial services / wealth / capital markets

Experience with large-scale data migration projects

Why Join

High-impact role with end-to-end ownership

Work on modern cloud data platforms

Collaborative, growth-oriented environment

Opportunity to shape data architecture and strategy

Location

Downtown Toronto (Hybrid -4 days onsite)