Cloud Partner Solutions Engineer (AWS / Azure / Google Cloud)

Snowflake

7d • $220,000 - $288,750

About The Position

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.
The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership.

Requirements

• Bachelor’s Degree in Business, Marketing, Computer Science, Data Science, or a related analytical field.
• Deep technical credibility.
• Business acumen.
• Program management skills.
• Comfortable architecting a cross-cloud Iceberg solution with a partner SA team.
• Comfortable leading a joint executive business review with cloud partner and Snowflake field leadership.
• Experience with AWS, Azure, or Google Cloud platforms.
• Familiarity with AI-native thinking and treating AI as a high-trust collaborator.
• Ability to move with an experimental mindset and rapidly test emerging capabilities.
• Low-ego individual who thrives in dynamic and fast-moving environments.
• Experience with co-sell objectives and driving customer success.
• Experience with product integration launches, field enablement, and joint marketing campaigns.
• Experience with joint account planning and establishing account strategies.
• Experience with the full co-sell lifecycle, from opportunity identification to production deployment.
• Ability to frame and communicate business value to executive and technical stakeholders.
• Experience delivering packaged POCs and customer workshops.
• Experience with Open Lakehouse (S3/Iceberg, Fabric OneLake, BigLake).
• Experience with Cortex AI + cloud LLM services (Anthropic/Cortex, Azure OpenAI, Vertex AI).
• Experience with Data Engineering pipelines.
• Experience partnering with SI teams on joint POC delivery.
• Experience coordinating cross-functional resources.
• Experience conducting and participating in joint Quarterly Business Reviews (QBRs).
• Experience designing and delivering enablement programs for cloud SA and partner field teams.
• Experience building and sustaining cloud SA champion networks.
• Experience providing architecture guidance, deployment best practices, and access to technical and GTM resources.
• Experience publishing technical blogs, whitepapers, quickstarts, and case studies.
• Experience developing and maintaining L100/L200 enablement decks and partner-facing narratives.
• Experience with Cortex AI enablement, including Cortex LLM, Search, Analyst, Fine Tuning, and Anthropic/Cortex co-sell plays.
• Experience architecting and delivering cross-cloud Iceberg and Lakehouse solutions.
• Experience enabling Openflow, Snowpark, and Snowpark Container Services (SPCS) deployment patterns.
• Experience mapping Snowflake workloads to cloud partner product portfolios.
• Ability to support customers from technical win through production deployment.
• Ability to mentor junior Solutions Engineers.
• Ability to elevate team capability by sharing playbooks, lessons learned, and reusable assets.
• Adherence to company's confidentiality and security standards for handling sensitive data.
• Abide by the company’s data security plan.

Nice To Haves

• MBA or a Master’s in Data Analytics for senior-level or strategic positions.

Responsibilities

• Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives.
• Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value.
• Develop Joint Industry Solutions, co-sell assets, and cloud marketplace offerings that align Snowflake use cases to cloud partner product portfolios and commercial programs.
• Lead joint planning cadences with cloud partner alliance teams, translating partner strategy into actionable quarterly and annual execution plans.
• Identify whitespace opportunities, product gaps, and integration priorities; synthesize partner field feedback into structured recommendations for Snowflake product and GTM teams.
• Represent Snowflake at partner events, conferences, and executive forums — including AWS re:Invent, Google Next, and Microsoft Build — as a credible voice across both technical and business audiences.
• Drive joint account planning with field AEs and cloud Alliances teams against top-account lists, establishing 18+ month account strategies that integrate Snowflake and cloud partner resources.
• Lead and manage the full co-sell lifecycle — from opportunity identification and qualification through technical win and production deployment — with clear milestone ownership and stakeholder communication throughout.
• Frame and communicate the business value of joint Snowflake + cloud partner solutions to executive and technical stakeholders at target accounts, tailoring the narrative to industry context and customer objectives.
• Deliver packaged POCs and customer workshops built around high-impact co-sell plays — including Open Lakehouse (S3/Iceberg, Fabric OneLake, BigLake), Cortex AI + cloud LLM services (Anthropic/Cortex, Azure OpenAI, Vertex AI), and Data Engineering pipelines.
• Partner with SI teams on joint POC delivery and coordinate cross-functional resources (product, professional services, Alliances) to remove blockers and accelerate time to go-live.
• Conduct and participate in joint Quarterly Business Reviews (QBRs) with cloud partner and Snowflake field leadership, presenting pipeline health, consumption trends, and next-period priorities.
• Design and deliver enablement programs for cloud SA and partner field teams across AWS, Azure, and GCP — building both technical competency and commercial confidence in positioning Snowflake co-sell plays.
• Build and sustain cloud SA champion networks through structured, account-based up-skilling covering product features, industry verticals, enterprise architecture patterns, and value-based selling frameworks.
• Support cloud partner COE maturity development by providing architecture guidance, deployment best practices, and access to Snowflake technical and GTM resources.
• Publish technical blogs, whitepapers, quickstarts, and case studies that document joint integration patterns, customer outcomes, and co-sell plays — creating reusable assets that multiply field impact beyond individual engagements.
• Develop and maintain L100/L200 enablement decks and partner-facing narratives that translate complex technical integrations into business-relevant co-sell stories.
• Lead hands-on Cortex AI enablement with cloud partner field teams, covering Cortex LLM, Search, Analyst, Fine Tuning, and Anthropic/Cortex co-sell plays relevant to each cloud's AI portfolio.
• Architect and deliver cross-cloud Iceberg and Lakehouse solutions integrating Snowflake with AWS S3/Iceberg, Microsoft Fabric OneLake, and Google BigLake — demonstrating interoperability across the open data ecosystem.
• Enable Openflow, Snowpark, and Snowpark Container Services (SPCS) deployment patterns in joint customer engagements, with a focus on production-readiness and scalability.
• Map Snowflake workloads to cloud partner product portfolios (AWS SageMaker, Bedrock, Glue, MSK; Azure Data Factory, Power BI, Copilot, AI Studio; GCP Vertex AI, Gemini, BigQuery) to craft technically grounded co-sell narratives that hold up in front of both SAs and architects.
• Support customers from technical win through production deployment, ensuring that go-live results in measurable, sustained consumption.
• Mentor junior Solutions Engineers on cloud partner engagement models, co-sell execution, business value framing, and technical delivery.
• Elevate team capability across technical depth, GTM execution, and partner program management by sharing playbooks, lessons learned, and reusable assets.

Benefits

• medical
• dental
• vision
• life
• disability insurance
• 401(k) retirement plan
• flexible spending & health savings account
• at least 12 paid holidays
• paid time off
• parental leave
• employee assistance program
• commission plan
• equity plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior