Solution Engineer
The Solution Engineer partners with sales teams and customers to demonstrate Snowflake, develop technical champions, and guide evaluations through implementation. The role requires solution engineering or architecture experience, strong executive and technical presentation skills, and hands-on SQL or Python expertise.
About the job
Responsibilities
- Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers.
- Demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demos and proofs of concept through design and implementation.
- Create and develop technical champions within accounts to drive deals and achieve technical wins.
- Present Snowflake roadmap features and functionality to customers and prospects.
- Maintain a deep understanding of competitive and complementary technologies and vendors, and position Snowflake accordingly.
- Collaborate with other solution engineers to share learning from wins and losses.
- Work with Product Management, Engineering, and Marketing to improve Snowflake’s products and marketing.
- Represent Snowflake at industry and customer events.
- Collaborate with ecosystem and implementation partners on joint architectures, account strategies, and customer initiatives.
Requirements
- Extensive solution engineering or solution architecture experience in a SaaS environment, or relevant experience in analytics, data science, or data engineering.
- Outstanding presentation skills for technical and executive audiences, including impromptu whiteboarding, presentations, and demos.
- Understanding of data architecture, data analytics, and cloud technology.
- Hands-on experience with SQL or Python.
- Ability to solve customer-specific business problems and apply Snowflake solutions.
- Strong written and verbal customer-facing communication skills.
Nice to Have
- Hands-on experience with Python.
- Experience with modern data technologies such as dbt, Spark, containers, DevOps tooling, orchestration tools, and Git.
- Experience with AI, data science, and machine learning technologies.
Compensation and Benefits
- Competitive salary.
- Comprehensive benefits in accordance with Saudi Labor Law.
- At least 25 days of paid annual leave.
- Premium medical insurance.
- Standard company perks.
- Full-time schedule of 40 hours per week, Sunday through Thursday.
Skills
SQL, Python, Snowflake, Data Architecture, Data Analytics, Cloud Technology, Data Engineering, Data Science, Machine Learning, dbt, Spark, Containers, DevOps, Orchestration Tools, Git
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