Soda is a GenAI-first platform focused on data quality and data observability. It helps organizations ensure their data products and pipelines are reliable by embedding declarative data quality checks into existing workflows. Soda provides a seamless experience for data validation, allowing monitoring of data quality health using out-of-the-box observability and tests. The platform offers integrations with existing tools and frameworks, making it suitable for various personas within data teams to contribute to maintaining high data standards. Soda is trusted by over 100 organizations to streamline their data quality processes in production environments.
data quality • data management • data science • data engineering • data monitoring
March 12
Soda is a GenAI-first platform focused on data quality and data observability. It helps organizations ensure their data products and pipelines are reliable by embedding declarative data quality checks into existing workflows. Soda provides a seamless experience for data validation, allowing monitoring of data quality health using out-of-the-box observability and tests. The platform offers integrations with existing tools and frameworks, making it suitable for various personas within data teams to contribute to maintaining high data standards. Soda is trusted by over 100 organizations to streamline their data quality processes in production environments.
data quality • data management • data science • data engineering • data monitoring
• Soda is looking for a proven VP of Engineering to strengthen our leadership team. • You will report directly to the CPO, working closely with the product team to accelerate delivery of upcoming product features. • Your primary responsibility will be leading the engineering team, ensuring high velocity and alignment between architectural decisions and the product roadmap. • You will resolve critical engineering challenges hands-on and spend at least 50% of your time with implementation. • Ensure fast delivery by structuring engineering work, best practices, and processes. • Oversee architectural decisions for quick delivery in the coming years.
• Deep understanding of and extensive experience applying modern architectural design principles, extending to service architectures and full multi-tenanted SaaS product development. • Experience in broad-based API integration, extending to integrating with legacy systems quickly and without performance issues. • Expertise in building robust, scalable B2B products. • Appreciation for UX and UI. • Experience putting ML systems in production. • Computer science or Engineering degree or other relevant educational background. • Track record of leading highly technical engineering teams. • Experience in building and scaling remote and distributed teams.
• Fully remote, flexible work, with opportunities to meet up as you want! • Working with a fast-growing international VC-funded startup with a flat structure • You will have full ownership of the things you work on • Open Source Product with all the perks that come with that
Apply NowFebruary 8
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