We are seeking an analytical and strategic Data Engineering Leader to lead the modernization of a large-scale data platform. This role will oversee the redesign of data infrastructure, improve data accessibility and reliability, reduce duplication, and drive greater automation and efficiency.
The role will lead a small engineering team through a significant platform transformation, building a unified data environment that supports business users and downstream applications.
Core Responsibilities
Platform Architecture & Modernization: Lead the design and modernization of scalable data platforms, improving performance, reliability, and maintainability.
Data Pipeline & Ingestion: Oversee the ingestion, transformation, processing, and distribution of diverse internal and external datasets.
Data Quality & Governance: Build reliable data delivery and automated validation processes to ensure data accuracy, consistency, and governance.
Team Leadership: Lead and mentor a team of data engineers while establishing technical standards, engineering best practices, and delivery roadmaps.
Technology Strategy: Evaluate existing technologies and recommend modern architectural solutions, automation opportunities, and engineering practices.
Operational Improvement: Identify opportunities to eliminate manual processes, reduce system duplication, and improve overall platform efficiency.
Qualifications & Technical Profile
Engineering Leadership: Proven experience leading engineering teams, managing technical deliverables, and designing scalable data architectures. Hands-on technical leadership is expected at the Associate Director level, while the Director level emphasizes broader strategic oversight.
Modern Data Engineering: Strong experience with scalable data platforms, cloud technologies, data lakes/lakehouses, batch and streaming pipelines, and query/analytics platforms.
Problem-Solving & Automation: Strong analytical and problem-solving skills with a focus on automation, process optimization, and code-driven solutions.
Data Architecture: Experience designing and modernizing complex data ecosystems, including data ingestion, transformation, storage, and consumption layers.
Domain Experience: Experience in financial services, capital markets, or other data-intensive industries is a plus but not required.
Technology Flexibility: Ability to evaluate and work across different technology stacks, with emphasis on sound engineering principles rather than specific vendor tools.
Numbers & Facts
Location
Toronto, ON
Skills
Analysis Skillsunmatched
Architectural Servicesunmatched
Audio Engineeringunmatched
Automationunmatched
Best Practicesunmatched
Business Supportunmatched
Capital Marketsunmatched
Cloud Computingunmatched
Data Managementunmatched
Data Processingunmatched
Data Qualityunmatched
Data Setsunmatched
Delivery Managementunmatched
Ecosystemsunmatched
Financial Servicesunmatched
Leadershipunmatched
Mentoringunmatched
Operational Improvementunmatched
Performance Managementunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Query Analysisunmatched
Reliability Engineeringunmatched
Strategic Analysisunmatched
Team Lead/Managerunmatched
Technical Deliveryunmatched
Technical Leadershipunmatched
Technical Strategyunmatched
Technical/Engineering Designunmatched
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