Snowflake SENIOR DATA CLOUD ARCHITECT – GLOBAL 

India, Karnataka, Bengaluru 

251939532

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
• Run training sessions, workshops, webinars to help customers become proficient in Snowflake
• Keeping customers up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits
• Run technical enablement programs to provide best practices, and solution design workshops to help customers create effective solutions
• Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging. Sharing customer success stories & case studies to showcase the impact of Snowflake

REQUIREMENTS:

• Minimum 15+ years of experience working in customer facing sales engineering (tech sales) role
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience
• Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps
• Outstanding skills presenting to both technical and executive audiences, in small groups or at public events, whether impromptu on a whiteboard or using presentations and demos.
• Hands-on expertise with SQL and Python
• Experience working with GSIs or Global capability centers
• Industry experience in either BFSI, Technology or HCLS domains
• Experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.)
• Presales experience in data related tech products
• Sound understanding and experience in the enterprise market and technology ecosystem

ADDED BONUS FOR:

• Data Science/AI/ML experience across a variety of platforms
• Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc).
• Cloud Provider Experience - Amazon AWS/Microsoft Azure/Google Cloud