Solutions Architect - Sales

October 1

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Logo of Snowflake

Snowflake

Data Warehousing • Cloud • Analytics • Data Lake • Marketing Analytics

1001 - 5000 employees

Founded 2012

💰 $621.5M Post-IPO Equity on 2022-04

Description

• Build the future of data. Join the Snowflake team. • We are looking for a Sales Solutions Architect to be part of our Professional Services team. • In this role there will be equal focus on both the process of selling Snowflake Professional Services engagements as well as the delivery of sold/billable engagements. • 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, confidently communicating that connection and vision to technical and executive audiences. • The person we’re looking for shares our passion for reinventing the data platform and thrives in a dynamic environment. • That means having the flexibility and willingness to jump in and get it done to make Snowflake and our customers successful. • It means keeping up to date on the ever-evolving data and analytics technologies and working collaboratively with a broad range of people inside and outside the company to be an authoritative resource for Snowflake and its customers. • As a Sales Solutions Architect, you will present Snowflake technology and vision to executives and technical contributors to customers. • Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes. • Partner with Professional Services Practice Directors and Practice Managers to identify, iterate and scope proposals and Statements of Work, both for packaged services as well as custom Time and Materials projects. • Collaborate with Snowflake sales executives and account teams on opportunity development and overall account strategy. • Build trust and confidence in Snowflake Professional Services through the delivery of on-site technical/use-case workshops, leadership of video conference meetings, assistance with deep-dive technical issues or questions and public-facing evangelism (LinkedIn, Medium, etc.) of Snowflake. • Collect and communicate common themes and questions from customer meetings to inform delivery teams on the evolving services landscape, identifying opportunities to build new and/or evolve existing packaged service offerings. • Drive project teams towards common goals of accelerating the adoption of Snowflake solutions. • Demonstrate and communicate the value of Snowflake technology throughout paid engagements, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders. • Create repeatable processes and documentation as a result of customer engagement. • Create and collaborate on Industry-based solutions that are relevant to other customers in order to drive more value out of Snowflake. • Follow best practices, including ensuring knowledge transfer so that customers are correctly enabled and can extend the capabilities of Snowflake on their own. • Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.

Requirements

• University degree in computer science, engineering, mathematics or related fields, or equivalent experience. • Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer. • Minimum 2 years of practical Snowflake experience, leading or participating in services engagements. • Minimum 2 years of practical experience with at least one of the three major cloud providers (AWS, Azure or GCP). • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools. • Hands-on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI). • Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) along with data science/AI/ML use cases and workloads. • Software development experience with Python, Java, Spark and other scripting languages. • Proficiency in implementing data security measures, access controls, and design within the Snowflake platform. • Internal and/or external consulting experience. • Impeccable communication skills - written, visual and oral. Capable of comfortably engaging audiences from hands-on technologists through C-suite executives.

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