
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
5001 - 10000 employees
Founded 2012
☁️ SaaS
May 5

Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
5001 - 10000 employees
Founded 2012
☁️ SaaS
• Build the future of the AI Data Cloud. Join the Snowflake team. • We are looking for a Solutions Architect to be part of our Professional Services team to deploy cloud products and services for our customers. • This person must be a hands-on, self-starter who loves solving innovative problems in a fast-paced, agile environment. • The ideal candidate will have the insight to connect a specific business problem and Snowflake’s solution and communicate that connection and vision to various technical and executive audiences. • The person we’re looking for shares our passion about reinventing the data platform and thrives in the dynamic environment. • That means having the flexibility and willingness to jump in and get done what needs to be done to make Snowflake and our customers successful. • It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for Snowflake, System Integrators and customers. • And it means working collaboratively with a broad range of people both inside and outside the company. • AS A SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL: • Be a technical expert on all aspects of Snowflake • Guide customers through the process of migrating to Snowflake and develop methodologies to improve the migration process • Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own • Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology • Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them • Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments • Provide guidance on how to resolve customer-specific technical challenges • Support other members of the Professional Services team develop their expertise • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing. • Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. • We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. • For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
• Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role • Experience migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform • University degree in computer science, engineering, mathematics or related fields, or equivalent experience • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools • Strong skills in databases, data warehouses, and data processing • Extensive hands-on expertise with SQL and SQL analytics • Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events • Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, etc.) • Software development experience with C/C++ or Java. Scripting experience with Python, Ruby, Perl, Bash. • Ability and flexibility to travel to work with customers on-site • Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) • Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau) • Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack, etc.) • Experience implementing ETL pipelines using custom and packaged tools • Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data pipeline • Experience selling enterprise SaaS software • Proven success at enterprise software
• Unique opportunity to work on a truly disruptive software product • Get unique, hands-on experience with bleeding edge data warehouse technology • Develop, lead and execute an industry-changing initiative • Learn from the best! Join a dedicated, experienced team of professionals.
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