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Snowflake delivers the AI Data Cloud to help organizations share data, build apps and power their business with AI.
Solutions Consultant
Location
Switzerland
Posted
71 days ago
Salary
0
Seniority
Senior
Job Description
Solutions Consultant
Snowflake
• Engage with several Snowflake customers • Lead technical streams of client data platform implementations and onboarding efforts • Work with Customer Engagement and Delivery teams for technical guidance, project management and functional support • Collaborate with various Snowflake departments (Engineering, Support, Sales, and Marketing) • Help clients troubleshoot their implementations and integrate the product • Identify, document, triage and track issues to ensure resolution • Contribute to the growth of the Customer Delivery and Training teams through documentation and process optimization • Apply industry and technology expertise to client implementations • Gather product feedback from customers for new features and capabilities
Job Requirements
- 5+ years of experience in a customer facing technical role
- Experience in Distributed systems and massively parallel processing technologies (Snowflake, Teradata, Spark, Databricks, Hadoop, Oracle, SQL Server)
- Knowledge of Data strategies and methodologies (Data Mesh, Data Vault, Data Fabric, Data Governance, Data Management, Enterprise Architecture)
- Familiarity with Data organisation and modeling concepts (Data Lake, Data Warehouse, Medallion architecture, Kimball dimensional modeling, 3NF database normalisation)
- Understanding of Infrastructure concepts (Cloud Hyperscalers like AWS and Azure, fundamentals of IaaS, PaaS, Networking, Security, Encryption, Identity and Access Management, Disaster Recovery Planning)
- Experience in Data Engineering concepts and frameworks (batch processing, stream processing, replication, SQL, DBT, Talend, Informatica, Python, Snowpark, PySpark, DataFrames)
- Knowledge of Business Intelligence and analytics solutions (Tableau, PowerBI, MicroStrategy, Thoughtspot, SAS, Streamlit, Advanced SQL)
- Fundamental understanding of AI/ML concepts (classification, regression, clustering, Natural Language Processing)
- Strong ability in leading engagements with internal and external stakeholders at different levels of the organisation
Benefits
- Private medical and insurance plans
- Strong private pension plans
- Very attractive parental leave
- Support with adoption, surrogacy, pregnancy or infant care related topics
- Annual vacation at the top of the market (Ask us more about *SnowBreaks* days during the interviews)
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