Sales Solutions Architect

Description

About Snowflake:

Snowflake is a fast-growing company reinventing the data platform. They are looking for individuals who share their values, challenge conventional thinking, and drive innovation. The company emphasizes a dynamic environment requiring flexibility and a willingness to contribute to both Snowflake’s and its customers’ success. Employees are expected to maintain up-to-date knowledge of data and analytics technologies and collaborate effectively both internally and externally.

Description: Sales Solutions Architect

This role within Snowflake’s Professional Services team requires a balance between selling Snowflake Professional Services engagements and delivering on those engagements. The ideal candidate is a hands-on, self-motivated individual who enjoys problem-solving in a fast-paced, agile environment. They must possess the ability to connect specific business problems to Snowflake’s solutions and effectively communicate this connection to technical and executive audiences.

Responsibilities:

• Sales & Solution Presentation: Present Snowflake’s technology and vision to executives and technical staff at customer organizations. Establish a position as a trusted advisor, focusing on achieving customer business outcomes.
• Proposal & SOW Development: Collaborate with Professional Services Practice Directors and Managers to identify, develop, and refine proposals and Statements of Work (SOWs) for both packaged services and custom Time and Materials projects.
• Sales Collaboration: Work with Snowflake sales executives and account teams to develop opportunities and contribute to overall account strategy.
• Building Trust and Confidence: Build trust in Snowflake Professional Services through on-site workshops, video conferences, technical support, and public-facing activities (e.g., LinkedIn, Medium).
• Service Landscape Feedback: Gather insights from customer meetings to inform delivery teams about evolving service needs, identifying opportunities to create or improve packaged service offerings.
• Project Leadership: Guide project teams to accelerate Snowflake solution adoption, demonstrating and communicating the value of Snowflake technology throughout engagements (demos, proof of concept, workshops, design sessions, implementation).
• Process Creation & Documentation: Develop repeatable processes and documentation based on customer engagements, ensuring knowledge transfer for customer self-sufficiency.
• Industry Solution Development: Create and collaborate on industry-specific solutions to increase Snowflake’s value for customers.
• Competitive Analysis: Maintain a comprehensive understanding of competitive and complementary technologies and how Snowflake positions itself against them.

Required Skills & Experience:

• University degree in computer science, engineering, mathematics, or a related field (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 major cloud provider (AWS, Azure, or GCP).
• Understanding of the complete data analytics stack (ETL to data platform design to BI and analytics tools).
• Hands-on technical experience (SQL, data warehousing, cloud data, analytics, or ML/AI).
• Extensive knowledge and experience with large-scale database technology (e.g., Snowflake, Netezza, Exadata, Teradata, Greenplum). Experience with data science/AI/ML use cases and workloads.
• Software development experience (Python, Java, Spark, and other scripting languages).
• Proficiency in implementing data security measures and access controls within the Snowflake platform.
• Internal and/or external consulting experience.
• Impeccable communication skills (written, visual, and oral).

Bonus Points:

• Big 5 Consulting experience.
• Experience selling or supporting the sales process of technical services at the enterprise level.
• Experience with non-relational platforms (e.g., Hadoop, HBase).
• Familiarity with BI and data exploration tools (e.g., Microstrategy, Looker, Tableau).
• OLAP data modeling and data architecture experience.
• Expertise in a specific vertical (Financial Services, Retail, Media & Entertainment, Healthcare, Life Sciences).
• Relevant certifications (cloud providers, cloud data technologies, cloud networking and security, data governance, ELT tools, BI/presentation layer tools).

Compensation and Benefits:

The salary range is estimated at $180,000 – $257,200, plus bonus and equity. A comprehensive benefits package is included.