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Senior Solution Engineer - GCC

Snowflake · Posted Oct 15

Cloud data warehousing, analytics, data sharing, and AI infrastructure services

Bangalore, IndiaFull-timeHybridSenior Level10+ years₹50.0L–₹85.0L yearly<25 applicants
Cloud ComputingData WarehousingArtificial IntelligenceBig DataSoftware DevelopmentPublic Company
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About the role

Snowflake's Global field teams are looking for world-class Solution Engineers whose technical skills and customer savvy help customers understand and utilise the value of its cutting-edge data platform. This data architect role spans data architecture, ETL/ELT, data science, security, performance analysis and analytics. Working hand-in-hand with Sales, Product, Engineering and Marketing, the Solution Engineer supports global accounts with GCCs in India — presenting Snowflake technology, building demos and proof-of-concepts, and providing consultative guidance on architecture and implementation.

What you will do

  • 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
  • Create and develop technical champions in your accounts to drive Snowflake adoption
  • Represent Snowflake at customer or industry events
  • 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

Skills used in this role

SQLPythonSnowflakeETL/ELTData Warehouse/LakeNetezzaExadataTeradataGreenplumHadoopTableauPower BIMetabaseAWSAzureGoogle CloudData ModelingData ArchitectureData ScienceAI/MLPresentationCommunication

What the employer is looking for

  • Minimum 10+ years of experience working in customer facing solution engineering (tech sales) role, preferably with large Global accounts
  • 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 large global accounts, GSIs and/or Global Capability Centers
  • Experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.)
  • Pre-sales experience in data related tech products
  • Sound understanding and experience in the enterprise market and technology ecosystem

Preferred qualifications

  • 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
  • Data modeling and data architecture experience
  • Experience selling enterprise SaaS software to Global Accounts

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Snowflake

Snowflake delivers the AI Data Cloud, a cloud-based platform that unifies data warehousing, data lakes, data engineering, and data sharing. Its architecture separates compute from storage, enabling organizations to securely store, govern, and analyze data across multiple public clouds. The platform also integrates generative AI services and developer frameworks to help enterprises scale advanced workloads.

Industry
Cloud Computing
Company size
10001+ employees
Founded
2012-07-23
Location
Bozeman, Montana, USA
Funding stage
Public Company

Funding

Public Company · $1.56B raised

Sutter Hill VenturesSequoia CapitalDragoneer Investment GroupSalesforce VenturesAltimeter CapitalICONIQ Capital
  • 2012-02-01Seed$900K
  • 2012-08-01Series A$5M
  • 2014-10-01Series B$26M
  • 2015-06-01Series C$79M
  • 2017-09-01Series D$105M
  • 2018-01-01Series E$263M
  • 2018-10-01Series F$450M
  • 2020-02-01Series G$479M
  • 2020-09-16Post IPO$376M

Leadership

SR
Sridhar Ramaswamy

Chief Executive Officer

BR
Brian Robins

Chief Financial Officer

CK
Christian Kleinerman

Executive Vice President, Product

SM
S. Muralidhar

Chief Technology Officer

MU
Mayank Upadhyay

Chief Security and Trust Officer