Requirements:

12+ years of experience in a customer facing technical role
Strong database and data warehouse experience, including recent experience writing and tuning complex SQL queries
Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack)
Experience implementing ETL pipelines using custom and packaged tools
Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data Pipeline
Presence: enthusiastic and high energy, but also poised, confident and extremely professional
Innovative and assertive, with the ability to pick up new technologies and assess situations quickly

Nice to Haves:

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, Business Objects, Tableau); it is not expected you will be an expert with any integrated upstream or downstream tools used to access data in Snowflake

May be named to several Snowflake customers
Lead technical pieces of client data warehouse implementations and on-boarding efforts
Work with the other Customer Engagement and Delivery matrix resources to ensure proper technical guidance, project management and functional support
Collaborate as needed with Product Management, Engineering, Sales, Sales Engineering, and Professional Services teams
Help clients troubleshoot the implementation of the product within their systems
Identify, document, triage and track issues to ensure resolution
Work with Product Management and Support as necessary when a scoped implementation or product feature cannot be implemented or does not meet the client’s needs
Play an active role contributing to the growth and scalability of the Customer Delivery and Training and Education teams through robust documentation, continuous process optimization, and capability cross-training
Apply industry/domain/technology expertise to client implementations
Gather intelligent product feedback and recommendations from customers to design and inform new features and capabilities
Fluency in German language is required

Track record of delivering results in a dynamic enterprise or start-up environment
Experience working cross functionally with teams such as Support and Engineering
Strong sense of ownership and high attention to detail
Creative and analytical problem-solving skills
Excellent written and verbal communication skills
Ability to work on several projects simultaneously and meet stated quality objectives