We are seeking a Lead Data Engineer with strong ETL and application expertise to lead the enhancement of existing ETL applications and design modern ETL/ELT pipelines as part of application redesign and migration to AWS. This role requires hands‑on technical leadership, strong data engineering fundamentals, experience in Agile delivery models, proficiency with Jira for planning, tracking, and execution, and the ability to guide teams through cloud‑based data transformations while ensuring stability of current platforms.

Key Responsibilities

Lead the support, enhancement, and optimization of existing Ab Initio ETL applications

Analyze current ETL frameworks and recommend performance, scalability, and reliability improvements

Ensure adherence to enterprise data engineering standards, coding best practices, and governance

Drive defect resolution, root cause analysis, and proactive optimization

AWS Data Platform Design & Modernization

Architect and design ETL/ELT pipelines in AWS for redesigning existing on‑prem or legacy ETL applications

Lead migration and modernization initiatives from Ab Initio/on‑prem platforms to AWS‑native solutions

Design scalable data ingestion, transformation, and orchestration patterns using AWS services

Evaluate and implement cost‑effective, performant cloud solutions aligned with business needs

Agile Delivery & Team Leadership

Work in an Agile/Scrum or SAFe environment, actively participating in sprint planning, backlog grooming, daily stand‑ups, sprint reviews, and retrospectives

Collaborate with Product Owners, Scrum Masters, Architects, QA, and DevOps teams

Break down complex data engineering work into Jira epics, stories, and tasks





Provide accurate estimations, track progress, and manage dependencies using Jira

Mentor and guide junior engineers, ensuring high‑quality and timely delivery

Required Skills & Qualifications
Experience & Education

Typically between 5-7 years of relevant experience in data engineering, ETL development, and/or data platform design

Post‑secondary degree in Computer Science, Engineering, Information Technology, or a related field of study, or an equivalent combination of education and experience

Core Technical Skills

Robust hands‑on experience with Ab Initio

GDE, metadata management

Graph performance tuning and complex data transformations

AWS Data Engineering Expertise

Services such as S3, Glue, Redshift, Lambda

Experience designing ETL/ELT architectures in cloud

Strong SQL and data modeling skills (dimensional & analytical models)

Experience with large‑scale batch data processing and data warehousing

Engineering & Delivery

Strong experience with data pipeline orchestration and scheduling

CI/CD knowledge (Ansible, Artifactory, GitHub Actions, or similar)

Familiarity with data quality, reconciliation, and controls

Solid understanding of security, IAM, and data governance in AWS

Soft Skills

Proven technical leadership and mentoring capabilities





Strong analytical and problem‑solving skills

Excellent communication skills with both technical and non‑technical stakeholders

Ability to manage multiple priorities in a fast‑paced environment

Nice to Have

Experience with Business Intelligence tools like Business Objects, PowerBI, Axiom

Experience in financial services, regulatory, or risk data platforms

Experience with modernization or sunset of legacy ETL platforms

Salaire : $75,900.00 - $141,900.00

Type de rémunération : Salaire

Ce qui précède représente la fourchette et le type de rémunération de BMO Groupe financier.

Les salaires varieront en fonction de facteurs comme l’emplacement, les compétences, l’expérience, les études et les qualifications pour le poste et pourront inclure une structure de commissions. Les salaires pour les postes à temps partiel seront calculés au prorata du nombre d’heures travaillées régulièrement. Pour les rôles à commission, le salaire susmentionné représente la cible de BMO Groupe financier pour la première année au poste.

La rémunération totale offerte par BMO variera selon le type de rémunération associé au poste et peut comprendre des primes de rendement, des primes discrétionnaires ainsi que d’autres avantages et récompenses. BMO offre également une assurance santé, le remboursement des frais de scolarité, une assurance accident et une assurance vie, ainsi que des régimes d’épargne‑retraite. Pour en savoir plus sur nos avantages sociaux, consultez le site : https://jobs.bmo.com/ca/fr/R%C3%A9mun%C3%A9ration-globale

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📌 Lead data engineer (Ontario)
🏢 BMO Financial Group
📍 Ontario