Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

Summary:

The role of the Data Engineer Manager is part of the Enterprise Data Enablement Team at Canada Life, and is responsible for the engineering, creation, and support of data services and products that increase velocity and quality of data to drive business insights and analytics across the organization. This role will lead by example, mentor a diverse team of talented data engineers and provide thought leadership on key initiatives.

What you will do:

• Lead and mentor a team of data engineers to ensure success for the entire team.
• Build and support data products for Canadian use: design, curate, and publish self-service connected datasets that increase re-use and quality of the data available in support of business data and analytic initiatives.
• Design and develop data models and patterns for re-usability in collaboration with Data Governance and Information Architecture teams.
• Optimize data engineering and preparation activities through automation and leveraging of modern tools and techniques.
• Collaborate on a daily basis with the core data team and business while assisting with mentoring other engineers on the team.
• Collaborate with business teams to understand data needs, provide recommendation on solution options, and support business initiatives when required.
• Inventory critical data elements including lineage, classification, and usage.
• Create and maintain a strong collaboration with different groups inside the organization.

What you will bring:

• 15+ years of applied data engineering experience (Data & Analytics education an asset).
• 5+ years in leadership position.
• Expertise and knowledge of SQL, Python, Azure, Databricks, Synapse, ADF.
• Strong understanding of data modeling and ability to apply different techniques within a cloud platform.
• Excellent communication, presentation, and strong organization skills
• Excitement to share learnings with others across the company, including senior leadership and community of practice participation.
• Agile, practical, customer service-oriented mindset.
• Generally curious and excited to learn new things.

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.