Senior Ps Sales Solutions Architect

Snowflake Snowflake · Data AI · IL, United States · Remote · Professional Services

This role is for a Senior Professional Services Solutions Architect at Snowflake, focusing on selling and delivering Snowflake Professional Services engagements. The role requires a hands-on, self-starter who can connect business problems with Snowflake's solutions, communicate this vision to technical and executive audiences, and act as a trusted advisor. While the company is powering the era of the agentic enterprise and uses AI as a collaborator, this specific role is not core AI/ML development but rather leveraging AI tools and understanding AI/ML use cases to sell and implement data solutions.

What you'd actually do

  1. Present Snowflake technology and vision to executives and technical contributors to customers.
  2. Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes.
  3. 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
  4. Collaborate with Snowflake sales executives and account teams on opportunity development and overall account strategy
  5. 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

Skills

Required

  • 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)
  • Either 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, OR; Experience with AI/ML model development and relevant tools like Sagemaker, DBx, or Azure ML.
  • 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.

Nice to have

  • Big 5 Consulting experience
  • Experience selling or supporting the sales process of technical services at the enterprise level
  • 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, Looker, Tableau)
  • OLAP Data modeling and data architecture experience
  • Expertise in a core vertical such as Financial Services, Retail, Media & Entertainment, Healthcare, Life-Scien

What the JD emphasized

  • 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)
  • Hands-on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI)
  • Experience with AI/ML model development and relevant tools like Sagemaker, DBx, or Azure ML.