Senior Partner Solution Engineer

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.