Zendesk
SaaS • B2B • Customer Support
Zendesk is a company that provides a comprehensive suite of customer service and sales solutions. Their offerings include messaging, live chat, AI-driven automation, data privacy and protection, and an agent workspace, all designed to enhance customer experience and support operations. Their platform is designed to be flexible and scalable, catering to businesses of all sizes, including small enterprises, startups, and large corporations. Zendesk emphasizes the importance of integrated workflows and personalized customer interactions, leveraging customer data and AI to improve service efficiency. Additionally, they provide professional services, resources for training, and a strong emphasis on diversity, inclusion, and sustainability.
5001 - 10000 employees
Founded 2007
☁️ SaaS
🤝 B2B
💰 Grant on 2019-09
Principal Engineer, Data Platform Architecture
Job not on LinkedIn
October 9
Zendesk
SaaS • B2B • Customer Support
Zendesk is a company that provides a comprehensive suite of customer service and sales solutions. Their offerings include messaging, live chat, AI-driven automation, data privacy and protection, and an agent workspace, all designed to enhance customer experience and support operations. Their platform is designed to be flexible and scalable, catering to businesses of all sizes, including small enterprises, startups, and large corporations. Zendesk emphasizes the importance of integrated workflows and personalized customer interactions, leveraging customer data and AI to improve service efficiency. Additionally, they provide professional services, resources for training, and a strong emphasis on diversity, inclusion, and sustainability.
5001 - 10000 employees
Founded 2007
☁️ SaaS
🤝 B2B
💰 Grant on 2019-09
📋 Description
• Own the end-to-end architecture of the Zendesk Data Platform • Lead solution architecture for data ingestion, transformation, governance, and delivery • Serve as a technical authority on Snowflake • Establish engineering best practices for cost monitoring and performance tuning • Provide mentorship to staff and senior engineers
🎯 Requirements
• 10+ years of experience in large-scale data engineering or analytics infrastructure roles • Deep hands-on expertise with Snowflake • Extensive practical knowledge of OLAP warehousing concepts • Strong architectural judgment across ETL/ELT • Fluency in SQL and data engineering languages (Python, Java or similar)
🏖️ Benefits
• Flexible working hours • Professional development opportunities • Health insurance • 401(k) matching • Paid time off
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