Snowflake
Snowflake
Snowflake nodrošina mākoņdatošanas datu platformu informācijas glabāšanai, apstrādei un analīzei lielā mērogā. Tās centralizētā arhitektūra palīdz uzņēmumiem apvienot datus, efektīvi izpildīt sarežģītus vaicājumus un atbalstīt dažādas darba slodzes, mainoties to vajadzībām. Uzņēmuma platforma ir nozīmīga mākoņdatošanas, datu, analītikas, konsultāciju un mārketinga tehnoloģiju jomās strādājošajiem speciālistiem, bet iespējas nosaka komandas, kas veido un atbalsta modernu datu infrastruktūru.

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.

Apraksts

  • 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.

Prasības

  • 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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