Position Description: This role is hybrid and requires you to be at our client office (downtown, Toronto) at a minimum 4 days per week – subject to change at any time.We’re seeking a Lead Data Solutions Engineer focused on building and scaling data‑driven systems that enable advanced analytics, machine learning, and impactful business decisions. You will play a key role in shaping our next‑generation trading decisioning and risk management platform, and lead by example in applying sound architectural thinking, engineering rigor, and technical mentorship. This role combines data engineering, MLOps and front‑end development, offering a unique opportunity to work across the entire Data and ML pipeline.Your future duties and responsibilities:Lead by Doing: Design, build, and review scalable data pipelines, analytics platforms, and ML systems. This is a hands‑on role with end‑to‑end ownership, with significant time doing coding.Set Technical Direction: Define and promote best practices in data and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation.Partner Cross‑Functionally: Work closely with data scientists, business leaders, and IT teams to understand needs and translate them into technical solutions.Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.Required qualifications to be successful in this role:7+ years of experience in designing and building high performance data‑heavy backend applications with deep understanding of distributed systems.5+ years hands‑on experience with big data tools (e.g. Apache Spark/Hadoop/AWS Glue/AWS EMR/Snowflake/Azure Databricks/Azure Data Factory).Strong understanding of the ML lifecycle and MLOps practices, including model deployment, monitoring, and CI/CD pipelines.Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns.Familiarity with front‑end frameworks (e.g. React, Angular) and backend frameworks like FastAPI, Flask, Node.js, Spring Boot.Excellent communication skills—able to clearly explain complex technical concepts to both technical and non‑technical audiences.Bachelor’s degree in computer science, Engineering, or a related field; Master’s or PhD preferred.Nice to Have:Hands‑on experience with AWS SageMaker, LLM deployments.Experience in full‑stack development.Skills:AngularBig DataBig Data & Analytics OperationDevOpsFinancial ServicesNoSQLReal‑Time ApplianceSnowflakeUse of the term ‘engineering’ in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering‑related functions, but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.As an equal‑opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.#J-18808-Ljbffr