Senior Partner Solution Engineer

Snowflake Snowflake · Data AI · Singapore · Solution Engineering

Snowflake is seeking a Senior Partner Solution Engineer to drive technical growth within their partner ecosystem, focusing on AI Data Cloud solutions. The role involves collaborating with partners, delivering technical training, co-developing solutions, presenting at events, and supporting customer engagements. The ideal candidate will have extensive experience in data engineering, cloud platforms, and a strong understanding of partner business models, with AI/ML use case experience being a plus.

What you'd actually do

  1. Collaborate closely with Snowflake's Partner, Sales, and Solutions Engineering teams to promote and implement optimal solutions with our partners.
  2. Design and deliver technical training, workshops, and certifications to upskill partner teams on Snowflake architecture and best practices based on joint business goals.
  3. 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.
  4. Present at Snowflake and Partner events, lead hackathons, and drive Snowflake awareness and adoption within partner organisations.
  5. 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.

Skills

Required

  • 10+ years of relevant industry experience
  • Understanding of sales quota-bearing role requirements
  • Proven ability to navigate ambiguity in a high-growth environment and take ownership to drive results
  • 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.

Nice to have

  • AI/ML use cases is a plus

What the JD emphasized

  • drive the technical growth in this Partner ecosystem
  • technical expert capable of driving success
  • significantly enhancing partner knowledge
  • cultivating strong mind share among Snowflake Partners
  • demonstrable history of successful engagement with major partners
  • proven ability to develop technical champions within their organisations
  • deep understanding of the broader Platform ecosystem
  • serve as the partners' trusted technical advisor
  • Proven experience in designing and building highly scalable data pipelines using Spark, Kafka to ingest data from various systems.
  • 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.