Snowflake SOLUTIONS ARCHITECT 

Switzerland 

922106382

WHAT A SOLUTIONS ARCHITECT AT SNOWFLAKE DOES:

• Engage with several Snowflake customers
• Lead technical streams of client data platform 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 different Snowflake organisations: 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/domain/technology expertise to client implementations
• Gather intelligent product feedback and recommendations from customers to design and inform new features and capabilities

People who have a strong track record in building best in classdata platformsand strong consulting skills.

Our Architects are required to have12+ years of experiencein a customer facing technical role and a working experience in

• 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 Models

A strong industry experience in the Financial services, Retail, or the Healthcare & Life Sciences will be an advantage.

We have a flexible remote work policy..

Our
compensation packageoffers a very competitive salary, plus equity on top. We believe in the importance of work life balance for our employees, which is why our annual vacation is at the top of the market. (Ask us more aboutSnowBreaksdays during the interviews)