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Key skills for this role
Lead, develop, and mentor a team of Solutions Architects and Consultants, who serve as our Snowflake implementation, optimization, development and delivery experts
Play an active role in sourcing and screening potential candidates and managing the interview process
Be a technical expert on all aspects of Snowflake
Provide delivery quality oversight and guidance for Snowflake engagements by ensuring adherence to technical and delivery best practices
Oversee the successful design, implementation, and deployment of complex AI and Generative AI (GenAI) solutions leveraging the Snowflake platform
Work with Professional Services Practice Directors and Sales Account Team on sales pursuits. Lead project scoping, performing code assessments, pricing services, creating statements of work, and providing strategic guidance on productionalizing AI and GenAI use cases
Develop methodologies 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 methodologies, capabilities to both internal teams, external partners and customers
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 professional services; scoping large projects, writing statements of work
Proven experience guiding enterprise customers on data strategies for building, deploying, and operationalizing GenAI engagements
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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)
University degree in computer science, engineering, mathematics or related fields, or equivalent experience
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
Ability to mentor and guide technical professionals deploying rapidly evolving features without full grasp of the technical details.
Strong skills in databases, data warehouses, and data processing
Extensive hands-on expertise with SQL and SQL analytics
Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
Scripting experience with Python, Ruby, Perl, Bash
Ability and flexibility to travel to work with customers on-site up to 25% of the time
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Snowflake is a cloud-based data platform that enables organizations to store, manage, and analyze data at scale. The company provides solutions for data warehousing, data lakes, data engineering, and AI/ML workloads across major cloud providers.
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Senior · 10+ years experience
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