AS A PROFESSIONAL SERVICES CONSULTING MANAGER AT SNOWFLAKE, YOU WILL:

• Lead and develop a team of Solutions Architects and Consultants who serve as our Snowflake implementation, optimization, development and delivery experts
• Mentor and manage a team of Snowflake Solutions Architects and Consultants, helping them to develop their expertise and grow their careers
• Lead recruiting and onboarding efforts for Solutions Architects and Solutions Consultants
• Be a technical expert on all aspects of the Snowflake platform
• Provide delivery quality oversight and guidance for Snowflake engagements in an assigned territory by ensuring adherence to technical and delivery best practices
• Work with Professional Services Practice Teams and Sales Account Teams to support sales pursuits – scoping projects, estimating work, creating delivery proposals
• Work with Customers, System Integrators, and Technology Vendors on project pursuits
• Develop processes to improve our services delivery
• Provide guidance on how to resolve customer-specific technical challenges
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
• Present our services capabilities to internal teams, external partners, and customers

OUR IDEAL CONSULTING MANAGER WILL HAVE:

• University degree in computer science, engineering, mathematics or related fields, or equivalent experience
• Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role
• Minimum 5 years of people management experience; experience mentoring, coaching and developing teams
• Minimum 5 years of experience in selling or positioning professional services – scoping large projects, developing delivery estimates and proposals
• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
• Strong skills in databases, data warehouses, and data processing
• Extensive knowledge of and experience with large-scale database technology (e.g. Oracle, Teradata, Netezza, Greenplum, etc.)
• Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
• Familiarity and experience with common data integration and data transformation tools (e.g. Informatica, DataStage, Talend, Matillion)
• Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau)
• Extensive hands-on expertise with SQL and SQL analytics
• Scripting experience with Python, Ruby, Perl, Bash
• Ability and flexibility to travel to work with customers on-site up to 25% of the time