В Snowflake это достаточно четко очерченная senior-роль на стыке инженерии и партнерских продаж в сильной продуктовой компании в сфере данных и ИИ. Но без информации о зарплате и с поездками до 25% сложнее оценить общие условия.
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Зарплата не указанаКомандировкиСильная продуктовая компанияСовременный стек данныхПонятные задачиСфера данных и ИИ
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Partner Solutions Engineer - VAR/Reseller (Data & AI Platform): Enabling VAR and reseller partners to develop, position, and sell Snowflake-based data and AI solutions across EMEA South with an accent on technical presales, partner architecture, and joint solution development. Focus on building data pipelines, supporting cloud and DevOps integrations, delivering technical workshops, and creating technical champions throughout the sales cycle.
Location: Paris, France; on-site
Company
Snowflake provides a data and applications platform designed to help organizations use data and AI.
What you will do
Help solution providers and practice leads develop technical strategies for selling offerings on Snowflake.
Develop and launch differentiated solution offerings with VAR, reseller, and system integrator partners.
Serve as a technical resource throughout the sales cycle and help partners position Snowflake solutions.
Present to technologists and C-level stakeholders while building technical champions in partner accounts.
Manage partner relationships, programs, goals, metrics, and progress across cross-functional teams.
Deliver upskilling workshops for partner solution architects on the Snowflake Data Platform.
Requirements
5+ years of experience in partnership or alliances technical presales within the EMEA VAR and reseller ecosystem.
Strong business acumen and experience developing channels, partnerships, or business solutions.
Architectural expertise and experience developing and deploying data pipelines; SQL and PySpark are required.
Experience with at least one public cloud platform: Azure, AWS, or Google Cloud.
Experience with DevOps and CI/CD tools such as Jenkins or GitHub Actions, plus cloud integration technologies.
Ability to work with international cross-functional teams and travel up to 25% of the time.
Nice to have
Experience with Spark, Scala, Kafka, or Apache NiFi.
Experience developing and deploying machine learning models across the full data science lifecycle.
MS or PhD in Computer Science or a related field.
Culture & Benefits
Collaborative environment focused on innovation and lasting impact.
Experimental mindset for testing emerging capabilities and improving how work gets done.
Opportunity to work with international partners, sales teams, marketing, and product managers.
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