Data Engineering Lead

Definity Financial Corporation; Toronto; Híbrido; CAD 109.000 - 159.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Company share ownership program

Incentive program

Pension and RRSP contributions

Volunteer days

Tuition assistance

Inclusion programs

Wellness programs

Discounts on products and services

Descripción de la vacante

Definity Financial Corporation, the parent of Economical Insurance and Sonnet, is seeking a Data Engineering Lead to set the vision, architecture, and development practices for data solutions across Technology Solutions. You will provide hands‑on technical leadership and oversight to design scalable, high‑quality data products and pipelines, aligning with enterprise goals.

You will drive modernization through CI/CD, automation, policy governance, and modern data engineering standards, while

Formación

• University degree in Computer Science, Information Systems, Cyber Security, or related discipline.
• 7-10 years of experience in data engineering, data/application development, or a similar field within enterprise environments.
• 4+ years of technical leadership experience.
• Experience with ML-enabled data systems, cloud data platforms, CI/CD, and modern data engineering frameworks.
• Insurance industry experience is an asset.
• Certifications in cloud technologies, data engineering, Agile, or DevOps are considered strong assets.

Responsabilidades

• Provide technical leadership for designing scalable, high-quality data platforms, pipelines, integrations, and analytics solutions aligned with enterprise architecture standards.
• Lead the adoption of CI/CD, test automation, TDD, and engineering best practices across multiple data engineering teams.
• Ensure compliance with enterprise security, governance, architectural frameworks, and data management standards.
• Drive modernization initiatives by evaluating emerging technologies and implementing scalable, reusable, and resilient data solutions.
• Integrate AI, machine learning, and advanced analytics capabilities into data engineering processes and platforms.
• Translate business and data strategy into actionable technical roadmaps, priorities, and execution plans.
• Collaborate with data leaders, architects, project managers, and business stakeholders to deliver enterprise-wide data initiatives.
• Act as the senior technical escalation point for complex data, platform, pipeline, and data quality challenges.
• Mentor and influence engineering teams, promoting technical excellence, collaboration, and continuous skill development.
• Bring deep expertise in GCP, Databricks, Python, SQL, cloud and big data technologies, data architecture, ETL/ELT, data modeling, Agile delivery, and modern data engineering practices.

Conocimientos

GCP

Databricks

Python

SQL

Cloud data

Big data

Data architecture

ETL/ELT

Agile delivery

Educación

Bachelor's degree in CS or related field

Herramientas

CI/CD

Descripción del empleo

Definity is the parent company to some of Canada’s most long-standing and innovative insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance. Our ambition is to be one of Canada’s leading and most innovative property and casualty insurers. We can’t do that without our people, so we embrace and encourage a culture that’s collaborative, ambitious, rewarding, and empowering.

We offer a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with. Bring your true self and be a part of our journey. It’s better here.

The Opportunity

The Data Engineering Lead is responsible for setting and driving the technological vision, architecture, and development practices for data solutions across Technology Solutions. This role provides hands‑on technical leadership and strategic oversight across multiple squads, enabling the design and execution of scalable, reusable, and high‑quality data products and pipelines. The Lead is a senior technical authority who advances engineering excellence by strengthening CI/CD, automation, and modern data engineering standards. They collaborate with engineering managers, architects, and business stakeholders to translate business needs into resource, roadmap‑aligned data delivery and ensure strong alignment between data needs and enterprise goals. This role requires thought leadership, innovation, and the ability to anticipate and solve complex technical challenges.

What to Expect

• Provide technical leadership for designing scalable, high‑quality data platforms, pipelines, integrations, and analytics solutions aligned with enterprise architecture standards.
• Lead the adoption of CI/CD, test automation, TDD, and engineering best practices across multiple data engineering teams.
• Ensure compliance with enterprise security, governance, architectural frameworks, and data management standards.
• Drive modernization initiatives by evaluating emerging technologies and implementing scalable, reusable, and resilient data solutions.
• Integrate AI, machine learning, and advanced analytics capabilities into data engineering processes and platforms.
• Translate business and data strategy into actionable technical roadmaps, priorities, and execution plans.
• Collaborate with data leaders, architects, project managers, and business stakeholders to deliver enterprise‑wide data initiatives.
• Act as the senior technical escalation point for complex data, platform, pipeline, and data quality challenges.
• Mentor and influence engineering teams, promoting technical excellence, collaboration, and continuous skill development.
• Bring deep expertise in GCP, Databricks, Python, SQL, cloud and big data technologies, data architecture, ETL/ELT, data modeling, Agile delivery, and modern data engineering practices.

What you Bring

• University degree in Computer Science, Information Systems, Cyber Security, or related discipline.
• 7-10 years of experience in data engineering, data/application development, or a similar field within enterprise environments.
• 4+ years of technical leadership experience.
• Experience with ML-enabled data systems, cloud data platforms, CI/CD, and modern data engineering frameworks.
• Insurance industry experience is an asset.
• Certifications in cloud technologies, data engineering, Agile, or DevOps are considered strong assets.

Salary Range:

$108,700-$158,700

Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labour market.

This position is being posted to fill an existing vacancy.

What’s in it for you?

• Company share ownership program
• Incentive Program - Eligible employees may participate in various incentive plans which are paid out at the discretion of the company and subject to individual and company performance.
• Pension and savings programs, with company‑matched RRSP contributions
• Paid volunteer days and company matching on charitable donations
• Educational resources, tuition assistance, and paid time off to study for exams
• Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents
• Wellness and recognition programs
• Discounts on products and services

Go ahead and expect a lot — you deserve it.

It’s better here — but don’t take our word for it. Definity was named by Great Place to Work® as one of the Best Workplaces™ in Canada for women, for youth, and for inclusion.

Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by [e-mail].

As part of Definity’s commitment to reconciliation, we acknowledge that our work, meetings, and travel take place on the lands now known as Canada, and recognize the enduring presence, wisdom, and stewardship of the First Nations, Métis, and Inuit peoples who have long cared for these lands.

Background checks

This role requires successful clearance of background checks (including criminal checks and leadership references).