Chapter Lead, Data Engineering

Time Type:
Regular

Job Description :

This leadership position requires a blend of deep technical expertise and a passion for people development. We’re looking for someone who approaches engineering challenges with a rigorous, architectural mindset and who can guide a team to deliver high-quality, sustainable solutions. If you are a curious, pragmatic, and energizing leader who thrives on building both great software and great teams, we would like to hear from you.

Responsibilities:

• Serve as the direct line manager for a chapter of Data Engineering Specialists, fostering their professional growth and expertise through continuous coaching, mentorship, and on-the-job development.
• Define the critical data engineering skills needed for the future—particularly around emerging AI technologies—and proactively build the chapter’s capabilities to meet evolving domain demands. 
• Lead your chapter in designing, building, and maintaining robust, scalable, and reliable data pipelines and infrastructure while establishing best practices across coding standards, CI/CD, testing, and infrastructure management.
• Propose and implement architectural solutions and strategies in collaboration with the Data Architecture team to improve data quality, reliability, and accessibility.
• Champion a collaborative and positive chapter environment, facilitating knowledge sharing and a culture of continuous learning and operational excellence.
• Collaborate with Data Scientists, Analysts, and business partners to understand their data needs and provide the necessary engineering solutions.
• Conduct regular performance check-ins and annual performance reviews, focusing on growth and constructive feedback.
• Assess chapter member capabilities to inform workforce planning, recruitment, and talent development strategies.
• Serve as an active, hands-on member of an agile squad (approx. 30% of your time), contributing directly to the squad's goals and deliverables.
• Support the practical implementation of Data Governance, security, and privacy policies. Provide feedback on the same to improve the practice.

Qualifications & skills:

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline required.
• 7+ years of experience in a data engineering or software engineering role with a data focus.
• 3+ years of proven experience in a leadership, mentorship, or coaching role. Formal management experience is a strong asset.
• Must have proficiency in writing complex, optimized SQL queries.
• Understanding of various data formats, and their applications (SQL, Filestore, Objectstore, NoSQL)
• Advanced programming skills in Python for data engineering (e.g., Pandas, PySpark, data pipeline frameworks like Airflow or Dagster).
• Deep experience with cloud data platforms (GCP, AWS, or Azure), including data warehousing (BigQuery, Snowflake, Redshift) and data processing services.
• Proven experience building and optimizing ETL/ELT data pipelines.
• Experience or understanding of Agile methodologies.
• People-first leader committed to team well-being, continuous growth, and leveraging collective expertise through intellectual humility. 
• Results-oriented with a strong bias for action, effective prioritization, and the adaptability to quickly master new business domains. 
• Driven by intellectual curiosity to solve complex problems, paired with a strong sense of ownership and a rigorous standard for data quality and reliability.

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Location :
Montreal PVM 37.5HRS

Company :
Cogeco Communications Inc.