Senior Data Engineer (Snowflake/ 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

- Own full lifecycle delivery: design, build, test, deploy

- 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

Tech Stack / Requirements

- 6+ years in Data Engineering

- Strong experience with:

- SQL, Python, APIs, CDC pipelines

- Cloud platforms: AWS / Azure / GCP

- Data platforms: Snowflake, Databricks,dbt, PySpark

- ETL tools: AWS Glue, EMR, Lambda

- Scheduling: Airflow, CRON, Step Functions

- Databases: PostgreSQL, MySQL, DynamoDB

- Storage: AWS S3, SFTP

- CI/CD: Git, Jenkins, Terraform, CloudFormation

What We’re Looking For

- Canadian University degree

- Strong understanding of up-to-date 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

- Cooperative, growth-oriented environment

- Opportunity to shape data architecture and strategy

Location

Downtown Toronto (Hybrid -4 days onsite)

Apply: [email protected]

📌 Senior Data Engineer ( Snowflake/ dbt/ AWS) (Canada)
🏢 TALENT TO HIRE
📍 Canada