Data Engineering Team Lead — Scale Platforms (Hybrid)

Vancity

Vancouver

Hybrid

CAD 113,000 - 153,000

Full time

6 days ago

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Benefits offered by this job

Living Wage Employer

Customizable Benefits

Generous Vacation

Extra Stat Holidays

Immediate Health Coverage

Defined Benefit Pension

Job summary

Vancity is seeking a Data Engineering Team Lead to provide technical leadership for our data platforms. You will set standards, design scalable architectures, and lead complex cross-team initiatives while remaining hands-on. You will mentor engineers and align with governance and business priorities.

The role reports to the Director, Data Platforms and supports a hybrid work arrangement with on-site requirements for events and business needs.

Qualifications

Bachelor’s degree in computer science or related technical discipline.
6-8+ years of industry experience in Data Engineering or related field handling data processing and transformation of disparate datasets.
Experience with big data and analytics programming languages such as Python, R, Spark in Databricks.
Experience with batch and real-time processing frameworks (EventHub, Apache Spark, Apache Kafka, etc.).
Strong ability to innovate and adapt to emerging technologies.
Excellent problem-solving skills and ability to manage competing priorities.
Experience with Azure Data Lake, Azure Data Factory, Azure Databricks, Semarchy and EventHub.
Exposure to DevSecOps practices and security-first principles.
Understanding of data storage, mapping, modeling, and real-time data handling.

Responsibilities

Provide technical leadership and direction for the organization’s data engineering capabilities.
Set engineering standards and design scalable, secure data architectures.
Lead complex, cross-team data initiatives while remaining hands-on.
Mentor engineers and ensure alignment with enterprise architecture and governance.
Influence platform strategy and governance in collaboration with leadership.
Communicate architectural designs and trade-offs to stakeholders.
Act as trusted technical advisor to product, analytics, and platform teams.
Maintain code quality, operational excellence, and engineering discipline.