# Senior Partner Solution Engineer

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Remote
**Role:** Sales Engineering
**Experience:** 10+ years
**Skills:** Snowflake, Spark, Kafka, SQL, Data Warehousing, Azure DevOps, Jenkins, Aws Codepipeline, Google Cloud Build, Azure, AWS, GCP, Azure Data Factory, Aws Glue, AWS Lambda
**Posted:** 2026-08-10

> Drives technical enablement and solution development across Snowflake’s partner ecosystem in India. The role requires extensive data engineering, cloud, DevOps, and partner-facing experience, including training, PoCs, architecture guidance, and strategic customer engagements.

## Job Description

## Responsibilities
- Collaborate with Snowflake’s Partner, Sales, and Solutions Engineering teams to promote and implement optimal solutions with partners.
- Design and deliver technical training, workshops, and certifications to upskill partner teams on Snowflake architecture and best practices.
- Co-develop industry-specific solutions and accelerators, such as data migration frameworks, industry data models, and Power of N motions.
- Present at Snowflake and partner events, lead hackathons, and drive Snowflake awareness and adoption within partner organizations.
- Support strategic customer engagements by defining use cases, delivering presentations, executing Proofs of Concept (POCs), and ensuring positive outcomes.
- Own partner technology roadmaps, reference architectures, and delivery methodologies to build and scale Snowflake practices.
- Advocate for partner and customer needs with Snowflake product teams.
- Travel up to 50% within India for enablement, deal support, and marketing events.

## Requirements
- 10+ years of relevant industry experience.
- Experience working with Global Systems Integrators, Regional Systems Integrators, Cloud Service Providers, and Technology Partners within the region.
- Data-domain thought leadership within a partner community.
- Understanding of partner revenue models, industry priorities, and operational challenges.
- Experience designing and building highly scalable data pipelines using Spark and Kafka.
- Strong SQL and data warehousing fundamentals; cloud data warehouse experience preferred.
- Experience with Snowflake Technology Partners specializing in Data Engineering, Data Science, Collaboration, and Cyber Security.
- Hands-on experience with DevOps and CI/CD processes and tools.
- Strong experience with major cloud platforms and tooling, especially Azure, AWS, and Google Cloud.
- Experience with big data or cloud integration technologies.
- AI/ML experience is a plus.

## Compensation and Benefits
- Salary and benefits information is provided on the Snowflake Careers Site for jobs located in the United States.

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