Solutions Architect

About the role

The Solutions Architect will play a dual role, focusing on both selling Snowflake Professional Services engagements and delivering billable engagements. This role requires a hands-on approach, with a focus on innovative problem-solving in a fast-paced, agile environment.

Responsibilities

• Present Snowflake technology and vision to executives and technical contributors to customers
• Partner with Professional Services Practice Directors and Practice Managers to identify, iterate and scope proposals and Statements of Work
• 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
• Drive project teams towards common goals of accelerating the adoption of Snowflake solutions
• Create repeatable processes and documentation as a result of customer engagement
• 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)
• 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. Additionally candidate must have familiarity with common ML supporting libraries (sklearn, xgboost, pytorch, pandas, etc.)
• 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

Qualifications

• Impeacble communication skills - written, visual and oral. Capable of comfortably engaging audiences from hands-on technologists through C-suite executives

Skills

• Big 5 Consulting experience
• Experience selling or supporting the sales process of technical services at the enterprise level
• 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-Sciences etc.

Benefits

Includes medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.