We are hiring aSenior Data Engineerto join a high-impactData & Analytics teamsupporting enterprise data platforms. This is ahands‑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 oversightDeep, 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 solutionsStrong system‑level thinking– able to design scalable, reliable data architectures beyond just tools and frameworksOwnership mindset– takes responsibility for delivery, quality, and performance in production environmentsExperience working withinCanadian business environments(financial services / Asset Mgmt. Wealth Mgmt.)You will play a key role inbuilding modern data pipelines, enabling analytics, and supporting data‑driven products .What You’ll DoSupport data migrations to modern cloud platforms (Snowflake, AWS, Databricks)Partner with business stakeholders and data teams to gather and translate requirements into scalable solutionsDesign and implement robust data architectures and workflowsBuild and maintain ETL/ELT pipelines across multiple data sourcesDevelop high‑performance, scalable data pipelines for analytics and reportingTroubleshoot production issues and ensure data reliability and system stabilityImplement data governance, lineage, and observability best practicesMentor junior team members and contribute to a high‑performing team environment7+ yearsin Data EngineeringKey QualificationsStrong understanding of modern data architecture & pipeline designExperience building scalable, production‑grade data systemsSolid experience with data observability and lineageProven ability to own projects end‑to‑endStrong communication and stakeholder collaboration skillsExperience in financial services / wealth / capital marketsExperience with large‑scale data migration projectsTechnical ExpertiseETL tools: AWS Glue, EMR, LambdaScheduling: Airflow, CRON, Step FunctionsStorage: AWS S3, SFTPCI/CD: Git, Jenkins, Terraform, CloudFormationWhy JoinHigh‑impact role with end‑to‑end ownershipWork on modern cloud data platformsCollaborative, growth‑oriented environmentOpportunity to shape data architecture and strategyLocation Downtown Toronto (Hybrid - 4 days onsite)#J-18808-Ljbffr