Senior Data Engineer ( Databricks/Snowflake)

Job Description

Job Description

Senior Data Engineer

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).

We are specifically seeking candidates who demonstrate:

• 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.

• 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

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

• Troubleshoot production issues and ensure data reliability and system stability

• Implement data governance, lineage, and observability best practices

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

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

• 7+ years in Data Engineering

• Strong experience with:

  • SQL, Python, APIs, CDC pipelines

  • Cloud platforms: AWS / Azure / GCP

  • Data platforms: Snowflake, Databricks, 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

• 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

• Experience in financial services / wealth / capital markets

• Experience with large-scale data migration projects

• 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

Downtown Toronto (Hybrid -4 days onsite)

Apply: sasha@talenttohire.com