Senior Software Engineer focusing on data engineering and machine learning for Workday. Involves data ingestion, governance, and collaboration using modern technologies.
About the role
- Manager leading complex Data Engineering teams at Intact to deliver high-impact platform and product outcomes. Overseeing Oracle to Snowflake migration and modernizing data ecosystems.
Responsibilities
- Build, develop, and retain high-performing Data Engineering / Software Engineering teams, ensuring the right mix of skills and behaviors
- Recruit key talent and evolve team composition as program phases and priorities shift
- Own end-to-end planning and delivery for complex initiatives: discovery, design/refactoring, build, test, release/cutover, and decommissioning as needed
- Establish scope, milestones, budgets, timelines, dependencies, and risk/issue management; maintain dashboards and KPIs
- Divide work into achievable tracks with clear roles and responsibilities, balance business needs with individual strengths and aspirations
- Provide technical leadership to the team, understanding the solutions and propose improvements and adjustments for efficiencies using modern technology
- Promote responsible AI usage to accelerate code understanding, refactoring, documentation, testing, and analytics—defining standards and guardrails for privacy, security, and validation
- Build strong relationships with product, architecture, security, finance, and business partners
- Communicate complex technical concepts and trade-offs clearly to technical and non-technical audiences, document and report progress
- Ensure governance adherence; proactively escalate risks and drive timely decisions
- Ensure adoption of best practices across data modeling, coding, version control, testing, observability
- Embed security and data governance (access controls, classification, privacy/compliance) into platforms and pipelines
- Promote communities of practice, knowledge sharing, and built-in quality; continually optimize processes and tools
Requirements
- Bachelor’s degree in information technology/software engineering or equivalent education and experience
- 10+ years across data engineering/analytics/AI/software engineering, with 5+ years leading large teams and complex initiatives
- Proven experience leading enterprise data platform programs and migrations between major DWH technologies (e.g., Oracle, Teradata, SQL Server) and modern cloud platforms (AWS, Snowflake, Databricks)
- Up to date with technology advancements and market trends in data platforms, analytics engineering, AI/ML tooling, and cloud services
- Understanding of: Data modeling (dimensional, data vault), orchestration (e.g., Airflow, Control M), CI/CD for data, data quality, and observability
- Modern data stack AI/LLM tools to accelerate development and analysis, with clear validation and governance practices
- Strong stakeholder management, influence, and communication skills; able to navigate ambiguity and drive cross-functional decisions
- Track record hiring, coaching, and leading large teams with high engagement, accountability, and inclusion
- For candidates located in Quebec, bilingualism is required (French and English): Need to interact on a regular basis with colleagues across the country.
Benefits
- Flexible work arrangements and a hybrid work model
- Possibility to purchase up to 5 extra days off per year
- Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
- Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)
- Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance): 15%
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