Senior Data Engineer ( Snowflake/ dbt/ AWS)

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)

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