Build the future of the AI Data Cloud. Join the Snowflake team.
For our Amsterdam office, we are looking for technology thought leaders who have a strong background in building data platforms and love to use their skills to generate value by supercharging data teams. Our team helps customers on their data journey with Snowflake, which is the central data platform for companies big and small. That means you will work on some of the most challenging data projects in the world, in a post-sales capacity.

WHO WE ARE:

The Snowflake AI Data Cloud’s mission is to mobilize the world’s data, so that businesses can be truly data-driven. We believe in the importance of making our platform easy to use, which allows us to power companies at all stages of the data maturity journey.
In our YouTube channel you can find examples of how we have helped companies in a wide range of industries.

WHAT WE DO:

We are the Professional Services team of Snowflake, which means we provide expert advisory services to our customers and help them build enterprise solutions that shape their businesses.
A customer journey might start with a migration project where we plan the when and how to migrate their workloads to Snowflake and execute the plan. Or it might begin with a greenfield project, where we simultaneously teach and demonstrate the best practices for working with Snowflake and translate them to our customers’ specific use cases.
We also support our customers in long-term continuous engagements, where we guide them from the initial setup of the platform all the way to the onboarding and the deployment of hundreds of their use cases. We thrive on solving complex data management and governance challenges.
We strive to be our customers’ trusted technology advisors and aim to maximise the value from their Snowflake investment.

WE ARE LOOKING FORWARD TO SPEAKING WITH YOU!

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.co

• Distributed systems and massively parallel processing technologies and concepts such as Snowflake, Teradata, Spark, Databricks, Hadoop, Oracle, SQL Server, and performance optimisation
• Data strategies and methodologies such as Data Mesh, Data Vault, Data Fabric, Data Governance, Data Management, Enterprise Architecture
• Data organisation and modeling concepts and techniques such as Data Lake, Data Warehouse, Medallion architecture, Kimball dimensional modeling, and 3NF database normalisation
• Infrastructure concepts such as the Cloud Hyperscalers (e.g. AWS and Azure) fundamentals of IaaS, PaaS, Networking, Security, Encryption, Identity and Access Management, and Disaster Recovery Planning
• Data Engineering concepts and frameworks such as batch processing, stream processing, replication, SQL, DBT, Talend, Informatica, Python, Snowpark, PySpark, DataFrames, storage formats (e.g Parquet, Avro, Apache Iceberg, Delta Lake), Orchestration and DevOps
• Business Intelligence and analytics solutions such as Tableau, PowerBI, MicroStrategy, Thoughtspot, SAS, Streamlit, and techniques such as time series analysis, Advanced SQL, and statistical analysis (e.g linear regression, variance analysis, modeling, and forecasting)
• AI/ML fundamental understanding of key concepts such as classification, regression, clustering, dimensionality reduction, Natural Language Processing and Language Model