• We are hiring a range of seniority levels, though we do not currently hire people without relevant experience. During the interview process, we will form a view on your current level of expertise and match it to our internal career levels
• People who have a strong background in building data platforms and working on the surrounding data landscape
• Some of our colleagues have a stronger background in data warehousing, data engineering, while others might be more at home on the data science or analytics side. The data warehouse is where we all come together
• Our ideal candidate can translate vague business requirements into technical requirements, find the appropriate solution and communicate both its technical merits and the business impact to stakeholders at different seniority levels
• We are constantly adding new features, so explaining new concepts is essential for our success
• Since Snowflake is only available in the cloud, having experience of architecting solutions on AWS, Azure or GCP is a big plus
• Similarly, having experience with data security, governance and discoverability concepts will be helpful in this role
• While SQL is a language everybody on the team knows very well, Snowflake is fast evolving to allow native integrations with Python, Java and Scala & with Snowpark , if you have experience with Spark you will definitely be able to put these skills to good use
• DataOps or DevOps for data teams is getting ever more important. Setting up CI/CD pipelines with automated tests and rollback capabilities is an activity we regularly engage in

Desirable

• We are the professional services team of Snowflake, which means we help our customers by creating solutions that shape their businesses
• Once our customers have made the decision to implement Snowflake, we accompany them in their journey with us
• This journey might start with our migrations team, who help our customers to plan and execute the migration of their data to Snowflake
• Or it might begin with a Quick Start consultation, where we simultaneously explain best practices for working with Snowflake and translate them to our customers' specific use case
• After a period of time we might return to analyse our customers progress and provide further guidance. We might also look at specific topics such as their security posture
• Other customers prefer a more continuous engagement with us. In these cases we stay with them for a year or longer, in order to guide them from the initial setup of the platform all the way to advanced use cases that solve their trickiest challenges
• We provide guidance to our customers. For most implementation work, we partner with our customers' engineering teams or members of our partner network
• While our core expertise is Snowflake, our platform is almost always at the centre of larger data architectures, which we help to design. Examples include architecting for GDPR or integrating with existing data lakes
• In addition to helping our customers, we help each other by answering questions on our internal Slack channels, writing content for our internal knowledge base or organising internal lunch and learn sessions