Senior Data Engineer ( Snowflake/ dbt/ AWS)
Summary
This senior data engineer role involves designing, building, and maintaining scalable end-to-end data pipelines and architectures using Snowflake, dbt, and AWS. The position requires a candidate to own the full data lifecycle and support analytics within a Canadian financial services environment.
Job Description
Job Description
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 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)
Apply: sasha@talenttohire.com