Snowflake
Snowflake
Snowflake बड़े पैमाने पर जानकारी को संग्रहीत करने, संसाधित करने और उसका विश्लेषण करने के लिए क्लाउड-आधारित डेटा प्लेटफ़ॉर्म उपलब्ध कराता है। इसका केंद्रीकृत आर्किटेक्चर व्यवसायों को डेटा को एक साथ लाने, जटिल क्वेरी को कुशलतापूर्वक चलाने और अपनी बदलती आवश्यकताओं के अनुसार विविध कार्यभारों का समर्थन करने में मदद करता है। कंपनी का प्लेटफ़ॉर्म क्लाउड कंप्यूटिंग, डेटा, एनालिटिक्स, कंसल्टिंग और मार्केटिंग टेक्नोलॉजी के क्षेत्रों में काम करने वाले पेशेवरों के लिए प्रासंगिक है; अवसर आधुनिक डेटा इंफ्रास्ट्रक्चर विकसित करने और उसका समर्थन करने वाली टीमों के अनुसार अलग-अलग होते हैं।

Senior Engineering Manager, Snowpark at Snowflake

Lead Snowflake’s Snowpark distributed compute platform for AI, machine learning, data science, and data engineering. Set technical direction, improve platform reliability, and grow the engineering team.

विवरण

  • Set technical direction and shape the technology ecosystem, roadmap, and vision.
  • Lead complex technical projects across a range of internal teams.
  • Anticipate customer needs and industry trends, then adapt team strategy.
  • Advise leadership on technical direction and decisions about product or team investment.
  • Develop tools and processes that increase team productivity and efficiency.
  • Improve product stability, reliability, on-call practices, service health, customer support, diagnosability, and manageability.
  • Identify and address gaps in the team’s skills and expertise.
  • Mentor engineers and strengthen the team’s technical capabilities.
  • Build a managed, elastic, high-scale, high-performance cloud-native compute platform for Snowpark workloads in AI, machine learning, data science, and data engineering.

आवश्यकताएँ

  • Bring at least 8 years of industry experience designing and building large-scale distributed systems platforms.
  • Have at least 2 years of full-time software engineering management experience.
  • Be passionate about helping developers work productively, succeed, and grow in their careers.
  • Have experience with cloud-native architectures and serverless compute platforms such as AWS Lambda, Azure Functions, or Cloud Run functions.
  • Follow Snowflake’s confidentiality and security standards when handling sensitive data.
  • Comply with Snowflake’s data security plan and protect customer information.
  • Live within commuting distance of a local Snowflake office or be willing to relocate there.
  • Be currently authorized to work in the country where you are applying.

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