Senior PS Sales Solutions Architect

Responsibilities

• Present Snowflake technology and vision to executives and technical contributors.
• Position as Trusted Advisor to key customer stakeholders, focusing on business outcomes.
• Partner with Professional Services Practice Directors and Managers to identify, iterate, and scope proposals and Statements of Work for packaged and custom projects.
• Collaborate with sales executives and account teams on opportunity development and account strategy.
• Build trust through on-site technical workshops, video meetings, deep-dive issue resolution, and public evangelism.
• Collect and communicate customer themes to inform delivery teams and identify new service offerings.
• Drive project teams to accelerate Snowflake adoption.
• Demonstrate Snowflake value in engagements from demos to implementations.
• Create repeatable processes and documentation from customer engagements.
• Develop industry-based solutions for broader customer value.
• Follow best practices including knowledge transfer for customer enablement.
• Maintain understanding of competitive technologies and position Snowflake accordingly.

Requirements

• University degree in computer science, engineering, mathematics, or related field, or equivalent experience.
• Minimum 5 years as solutions architect, data architect, database administrator, or data engineer.
• Minimum 2 years practical Snowflake experience in services engagements.
• Minimum 2 years practical experience with AWS, Azure, or GCP.
• Understanding of data analytics stack (ETL to BI/analytics).
• Hands-on technical experience (SQL, data warehousing, cloud data, analytics, ML/AI).
• Extensive knowledge of large-scale database technology (e.g., Snowflake, Netezza, Exadata, Teradata, Greenplum) with data science/AI/ML, OR AI/ML model development experience (Sagemaker, DBx, Azure ML) with libraries (sklearn, xgboost, pytorch, pandas).
• Software development with Python, Java, Spark, scripting languages.
• Proficiency in Snowflake data security, access controls, design.
• Internal/external consulting experience.
• Impeccable communication skills for technologists to C-suite.

Nice-to-Haves

• Big 5 Consulting experience.
• Experience selling/supporting sales of technical services at enterprise level.
• Non-relational platforms (Hadoop, HBase).
• BI/data exploration tools (Microstrategy, Looker, Tableau).
• OLAP data modeling/architecture.
• Expertise in verticals (Financial Services, Retail, Media & Entertainment, Healthcare, Life-Sciences).
• Certifications in cloud providers, data technologies, networking/security, governance, ELT, BI.