Lead data engineers and deliver cloud-based pipelines using SQL, Python, and enterprise platforms at Konrad. The position is hybrid.

As Data Engineering Technical Lead, you will guide people, architecture, and delivery across data initiatives. You will partner with internal and external stakeholders, communicate complex concepts clearly, and support secure, governed solutions. Konrad’s work connects AI, strategy, design, and technology for ambitious businesses and brands.

Key Responsibilities:

- Lead and mentor data engineers through continuous technical growth
- Collaborate with stakeholders to understand data requirements
- Deliver secure, governed, and compliant data solutions
- Manage pipelines, storage, architectures, and big data workflows




- Support tailored analytics and AI integration solutions

Requirements:

- Degree in computer science, data engineering, or related discipline
- Six-plus years in data architecture, engineering, or similar
- Two-plus years as a technical or engineering lead
- Experience with AWS, Azure, or Google Cloud services
- Experience with Databricks, Snowflake, Spark, or Kafka

Use technical leadership, cloud expertise, and stakeholder communication to advance Konrad’s data engineering initiatives.

📌 Data Engineering Technical Lead (Toronto)
🏢 Konrad
📍 Toronto