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 contemporary 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

- 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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📌 Senior Data Engineer ( Snowflake/ AWS) (Toronto)
🏢 Dawn Recruiting Agency
📍 Toronto