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Data Engineering Lead with AI Focus

Spring Financial

Vancouver · Hybrid Full-time Lead 2d ago

About the role

About

Transform data architecture as a Senior Data Engineer focused on AI. Design scalable, secure pipelines and influence organizational standards in a hybrid work environment.

As a leader in this role, work closely with stakeholders to frame complex problems and deliver resilient data solutions across AWS, Snowflake, and other technologies.

Your role will involve championing AI integration within pipelines and development practices, ensuring that systems are responsive to evolving platform requirements. Mentor junior engineers and set high-quality standards in engineering practices.

Key Responsibilities:

  • Lead design and delivery of secure data platforms
  • Drive initiatives to unify data sources for analytics
  • Define engineering standards for pipeline reliability
  • Facilitate AI integration in data operations
  • Collaborate with technical and business leaders for solutions

Requirements:

  • Expertise in data pipelines with Snowflake and AWS
  • Strong knowledge of real-time data systems and streaming
  • Fluency in Python and SQL, with infrastructure-as-code experience
  • Proven success in aligning data engineering with business goals
  • Excellent interpersonal and mentoring capabilities

Shape the future of data engineering by integrating AI and leading strategic initiatives alongside cross-functional teams.

Skills

AWSAICloudData EngineeringInfrastructure as CodePythonSQLSnowflakeStreaming

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