Senior Data Engineer ( Databricks / Financial sector)

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). 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 • 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 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 • 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

Want to see how well you match this job?