Senior SQL Developer - Snowflake
Kunai$130,000 - $160,000/year
- Full Time
- Senior (5 to 8 years)
SAR 517,000 – SAR 858,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Cloud ComputingIndustries
Position Overview
- Location Type: Remote
- Employment Type: Full-Time
- Salary: SAR 517K - SAR 858K
- Job Title: Partner Solution Engineer
- Location: KSA (Based)
Join the Snowflake team and build the future of the AI Data Cloud! We are seeking a Partner Solution Engineer to work directly with our consulting & SI partners, enabling them on key platform features and their business benefits, and helping them to grow their Snowflake services business. This role requires someone passionate about innovating through the AI Data Cloud, thriving in a dynamic environment, and possessing the flexibility to jump in and get things done. You'll comfortably navigate both business and technical contexts, interacting with executives and inspiring technical audiences.
Responsibilities
- Present Snowflake technology and vision to decision makers and technical contributors at partners, prospects, and customers.
- Work hands-on with partners and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle.
- Build technical champions within our partners and grow the local Snowflake technical community.
- Immerse yourself in the ever-evolving industry, maintaining 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.
Requirements
- Experience: 7-8 years of industry experience with a minimum of 3 within a pre-sales environment working directly with consulting & System Integration (SI) partners.
- Presenting Skills: Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Technical Expertise: Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics, and cloud technologies.
- SQL Knowledge: Hands-on expertise with SQL.
- Data Engineering (Preferred): Experience in data engineering is highly desirable.
- Python (Preferred): Hands-on Python experience is a plus.
- Education: University degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
- Market Knowledge: Preferrable experience of the Saudi market.
- Language Skills: Fluency in English and Arabic.
Company Information
- Company: Snowflake
- Industry: Cloud Computing
- Description: Snowflake is a fast-growing company focused on building the AI Data Cloud. They are scaling their team to help enable and accelerate their growth.
- Values: The company seeks individuals who share their values, challenge ordinary thinking, and push the pace of innovation.
Application Instructions
- For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: https://careers.snowflake.com
Skills
Presentation
Technical Communication
Database
Data Warehouse
ETL
Analytics
Cloud Technologies
Snowflake
Data management and analytics platform
About Snowflake
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees