Job Title: Solutions Architect

Location Type: Remote Employment Type: Full-Time

Position Overview

Build the future of the AI Data Cloud. Join the Snowflake team. For our Swiss offices, 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 maximize the value from their Snowflake investment.

What a Solutions Architect at Snowflake Does

• Engage with several Snowflake customers
• Lead technical streams of client data platform implementations and onboarding 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 different Snowflake organizations: Engineering, Support, Sales, and Marketing
• Help clients troubleshoot their implementations and integrate the product within their ecosystem
• Identify, document, triage, and track issues to ensure resolution
• Actively contribute 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 and technology expertise to client implementations
• Gather intelligent product feedback and recommendations from customers to design and inform new features and capabilities

What We Are Looking For

People who have a strong track record in building best-in-class cloud data platforms and strong consulting skills. Our Architects are required to have:

• 12+ years of experience in a customer-facing technical role
• Working experience in Distributed systems and massively parallel processing technologies and concepts such as Snowflake, Teradata, Spark, Databricks, Hadoop, Oracle, SQL Server, and performance optimization
• Experience with Data strategies and methodologies such as Data Mesh, Data Vault, Data Fabric, Data Governance, Data Management, Enterprise Architecture
• Knowledge of Data organization and modeling concepts and techniques such as Data Lake, Data Warehouse, Medallion architecture, Kimball dimensional modeling, and 3NF database normalization
• Understanding of 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
• Familiarity with 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)