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Snowflake is seeking a Senior Partner Solution Engineer to drive technical growth and adoption within the partner ecosystem across India. This role bridges Snowflake's product capabilities with System Integrators, Cloud Service Providers, and Technology Partners, positioning you as a trusted technical advisor to key partners.
You will design and deliver technical training, workshops, and certifications to upskill partner teams on Snowflake's data cloud architecture and best practices. You'll co-develop industry-specific solutions and accelerators with partners—such as data migration frameworks and industry data models—that align Snowflake's products with their service offerings. A significant portion of your impact comes from presenting at Snowflake and partner events, leading hackathons, and driving awareness and adoption within partner organizations.
On the customer-facing side, you'll partner closely on strategic engagements, collaborating with partners to define use cases, deliver compelling technical presentations, execute Proofs of Concept, and ensure successful outcomes. You'll own the technology roadmap with partners, helping them build and scale their Snowflake practices through reference architectures and delivery methodologies. You'll also advocate for partner and customer needs back to Snowflake's product teams.
The ideal candidate brings 10+ years of relevant industry experience, with a proven track record of successful engagement with major System Integrators, regional integrators, and cloud service providers. You should have deep domain expertise in data engineering—including hands-on experience designing scalable data pipelines with Spark and Kafka, strong SQL and data warehousing fundamentals (cloud DW preferred), and proficiency with major cloud platforms (Azure, AWS, Google Cloud). Experience with DevOps/CI-CD tools, big data integration technologies, and Snowflake's technology partner ecosystem is essential. AI/ML use case experience is a plus.
This role requires up to 50% travel within India throughout the quarter to support partner enablement, deal support, and marketing events. You'll work closely with Snowflake's Partner, Sales, and Solutions Engineering teams to maximize partner success and drive adoption of the Snowflake AI Data Cloud.
