Accelerate AI solutions as a Lead Data Engineer at Katalyze AI. You will architect data infrastructure that drives efficiency across our biotech platform.
The ideal candidate will oversee our data infrastructure, helping design and implement key integrations with customer data systems. This role emphasizes building robust data pipelines and establishing data quality standards to support AI model training. Join us in enhancing the accessibility of life-saving drugs through productive data processes.
Key Responsibilities:
• Define architecture and standards for data infrastructure
• Design and implement integrations with external data systems
• Develop scalable data streaming infrastructure using technologies like Kafka




• Maintain effective ETL/ELT pipelines for scientific datasets
• Collaborate with ML teams on data quality and observability
Requirements:
• Minimum 7 years of data engineering experience
• Demonstrable experience in making architecture decisions
• Proficient in data streaming technologies like Spark
• Robust background in Python, SQL, and cloud solutions
• Experience with industrial data systems like MES is a plus
Utilize your data engineering skills to impact the mission at Katalyze AI.
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📌 Lead Data Engineer Role At Katalyze Ai Toronto
🏢 Katalyze AI
📍 Toronto