Snowflake teikia debesijos duomenų platformą, skirtą dideliu mastu saugoti, apdoroti ir analizuoti informaciją. Centralizuota architektūra padeda įmonėms sutelkti duomenis vienoje vietoje, efektyviai vykdyti sudėtingas užklausas ir palaikyti įvairius darbo krūvius, kai keičiasi jų poreikiai. Įmonės platforma aktuali debesijos kompiuterijos, duomenų, analitikos, konsultavimo ir rinkodaros technologijų srityse dirbantiems specialistams, o galimybės priklauso nuo komandų, kuriančių ir palaikančių šiuolaikinę duomenų infrastruktūrą.
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.
Aprašymas
- 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.
Reikalavimai
- 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.