Snowflake DATA CLOUD ARCHITECT – GLOBAL 

India, Karnataka, Bengaluru 

813090773

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

• OLAP Data modeling and data architecture experience

• Experience selling enterprise SaaS software.