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Lead Data Engineer

Lead the design and delivery of enterprise data platforms, pipelines, and data products. Provide technical leadership for engineering teams and large-scale data initiatives within an agile environment.

  • On-site
  • Canada
  • Posted Aug 17, 2026
  • 1 position

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Job summary

Required Qualifications Experience: 8+ years of experience in data engineering, software engineering, or enterprise data platform development. 3+ years of technical leadership experience leading engineering teams or large-scale data initiatives. Proven experience designing and delivering enterprise data platforms, pipelines, and data products. Experience operating within agile software development environments Technical Skills Advanced SQL and data modeling expertise. Strong Python and PySpark development experience. Deep understanding of ETL and ELT architecture patterns. Experience implementing Master Data Management solutions. Experience building RESTful APIs and data services. Familiarity with GraphQL and modern integration approaches. Understanding of microservices-based architectures. Experience implementing event-driven and real-time data processing solutions. Strong understanding of data quality frameworks, metadata management, and data lineage concepts.

What you’ll do

Lead the design and delivery of enterprise data platforms, pipelines, and data products. Provide technical leadership for engineering teams and large-scale data initiatives within an agile environment.

Requirements

Requires over 8 years of experience in data or software engineering, including 3+ years of technical leadership. Must possess advanced skills in SQL, Python, PySpark, and modern data architecture patterns.

Listed skills

  • SQLPreferred
  • GraphQLPreferred
  • PythonPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • SQL
  • Data Modeling
  • Python
  • PySpark
  • ETL
  • ELT
  • Master Data Management
  • RESTful APIs
  • GraphQL
  • Microservices
  • Event-driven Architecture
  • Real-time Data Processing
  • Data Quality Frameworks
  • Metadata Management
  • Data Lineage
  • Agile Software Development

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Management & Leadership

Additional details

Minimum experience
10+ years
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available