Senior Solution Engineer at Snowflake
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.
RESPONSIBILITIES
- Present Snowflake technology and vision to executives and technical contributors at prospects and customers
- Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
- Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
- Be an advocate and develop mutual trust with the technical audience on the customer side
MINIMUM REQUIREMENTS
Minimum 10-12 years of experience working in customer facing Solution Engineering (tech pre-sales) roleStrong competency on modern data stacks, ETL / ELT, data warehouse / lake, data science and data appsOutstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demosHands‑on expertise with SQL and PythonSTRONGLY DESIRED
Data Science knowledge and experienceUniversity degree in computer science, engineering, mathematics or related fields, or equivalent experienceSoftware development experience with Java, Spark and other scripting languagesExtensive knowledge of and experience with large‑scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.) and cloud data platformsExperience and track record of success selling data and / or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling eventsSound understanding and experience in the Malaysian market and technology ecosystemADDED BONUS FOR
Strong Data Science / AI / ML experience across a variety of platformsFamiliarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc)Cloud Provider Experience - Amazon AWS, Microsoft Azure, and Google CloudExperience using AWS or Azure native services such as AWS S3, AWS Glue, AWS SageMaker or Azure Blob Storage, Azure Data Factory, Azure Database Migration ServicesOLAP Data modeling and data architecture experienceExperience in Cloud security & Malaysia risk management framework : e.g. Bank Negara Malaysia (BNM) Risk Management in Technology (RMiT)Experience selling enterprise SaaS softwareProven success at enterprise software start‑upsHow 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
Seniority level
Mid‑Senior levelEmployment type
Full‑timeJob function
Engineering and Information TechnologyIndustries
Software Development#J-18808-Ljbffr