At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.
Snowflake partners, from System Integrators (SI), Cloud Service Providers (CSP) and Technology Partners (ISV) are an integral part of Snowflake business to help customers unlock Power of Snowflake AI Data Cloud.
We are seeking a highly motivated and proactive individual to drive the technical growth in this Partner ecosystem.
This role demands a technical expert capable of driving success by aligning with key programs and significantly enhancing partner knowledge of crucial product features. The candidate must effectively present to both technical and executive audiences, utilising methods from whiteboarding to presentations and demonstrations, to cultivating strong mind share among Snowflake Partners across India.
We require a candidate with a demonstrable history of successful engagement with major partners and a proven ability to develop technical champions within their organisations. Ideal candidates will possess a deep understanding of the broader Platform ecosystem, including products and the competitive landscape, enabling them to influence and serve as the partners' trusted technical advisor.
This role requires travel up to 50% within India throughout the quarter to support partner engagement such as enablement, deal support and marketing events.
AS A PARTNER SOLUTION ENGINEER, YOU WILL:
Collaborate closely with Snowflake's Partner, Sales, and Solutions Engineering teams to promote and implement optimal solutions with our partners.
Design and deliver technical training, workshops, and certifications to upskill partner teams on Snowflake architecture and best practices based on joint business goals.
Co-develop industry-specific solutions and accelerators with partners (e.g., data migration frameworks, industry data models, Power of N motions). Aligning Snowflake's products to maximise impact on their service offerings.
Present at Snowflake and Partner events, lead hackathons, and drive Snowflake awareness and adoption within partner organisations.
Partner closely on strategic customer engagements, collaborating with partners to define use cases, deliver compelling presentations, execute successful Proofs of Concept (POCs), and ensure positive outcomes.
Own the technology roadmap with the partners, to build and scale their Snowflake practices with reference architectures and delivery methodologies.
Advocate for partner and customer needs with Snowflake product teams.
OUR IDEAL PARTNER SOLUTION ENGINEER WILL HAVE:
Have 10+ years of relevant industry experience.
Experience working with Global Systems Integrators, Regional System Integrators, Cloud Service Providers and Technology Partners within the region.
Developed data domain thought leadership within a partner community.
Deep comprehension of Partner revenue models, industry priorities and challenges they navigate.
Proven experience in designing and building highly scalable data pipelines using Spark, Kafka to ingest data from various systems.
Strong SQL and data warehousing fundamentals (cloud DW experience preferred)
Experience with Snowflake Technology Partners that specialise in Data Engineering, Data Science, Collaboration and Cyber Security.
Hands-on technical experience with DevOps and CI/CD processes and tools, such as Azure DevOps, Jenkins, AWS CodePipeline, and Google Cloud Build.
Strong experience with major cloud platforms and tooling, especially Azure, AWS and Google Cloud.
Experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc.
Experience with AI/ML use cases is a plus.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Skills Required
- 10+ years of relevant industry experience
- Experience working with global systems integrators, regional systems integrators, cloud service providers, and technology partners
- Data domain thought leadership within a partner community
- Understanding of partner revenue models, industry priorities, and partner challenges
- Experience designing and building highly scalable data pipelines using Spark and Kafka
- Strong SQL and data warehousing fundamentals
- Experience with Snowflake Technology Partners specializing in data engineering, data science, collaboration, and cybersecurity
- Hands-on experience with DevOps and CI/CD processes and tools, including Azure DevOps, Jenkins, AWS CodePipeline, or Google Cloud Build
- Strong experience with major cloud platforms and tooling, especially Azure, AWS, and Google Cloud
- Experience with big data or cloud integration technologies such as Azure Data Factory, AWS Glue, or AWS Lambda
- Experience with AI/ML use cases
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
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Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
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Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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