Build the Future of AI Data Cloud
We are seeking technology thought leaders with a strong background in building data platforms and passion for leveraging their skills to generate value by empowering data teams.
About Us
The Snowflake AI Data Cloud aims to make businesses truly data-driven by providing an intuitive platform that powers companies at all stages of the data maturity journey.
Our Mission
We provide expert advisory services to our customers, helping them build enterprise solutions that shape their businesses.
A customer journey may start with a migration project where we plan and execute the migration of workloads to Snowflake or begin with a greenfield project, teaching and demonstrating best practices for working with Snowflake.
We also support long-term continuous engagements, guiding customers from initial setup to onboarding and deployment of hundreds of use cases.
Solutions Architect Role
1. Engage with multiple Snowflake customers
2. Lead technical streams of client data platform implementations and onboarding efforts
3. Collaborate with other resources to ensure proper technical guidance and project management
4. Work with different Snowflake organizations: Engineering, Support, Sales, and Marketing
5. Help clients troubleshoot implementations and integrate Snowflake within their ecosystem
6. Identify, document, triage, and track issues to ensure resolution
7. Contribute to growth and scalability through documentation, process optimization, and capability cross-training
8. Apply industry and technology expertise to client implementations
9. Gather product feedback and recommendations from customers
Requirements
We seek individuals with a strong track record in building best-in-class cloud data platforms and consulting skills.
Architects require 12+ years of experience in a customer-facing technical role and proficiency in:
1. Distributed systems and massively parallel processing technologies such as Snowflake, Teradata, Spark, Databricks, Hadoop, Oracle, SQL Server, and performance optimization
2. Data strategies and methodologies like Data Mesh, Data Vault, Data Fabric, Data Governance, Data Management, Enterprise Architecture
3. Data organization and modeling concepts and techniques like Data Lake, Data Warehouse, Medallion architecture, Kimball dimensional modeling, and 3NF database normalization
4. Infrastructure concepts such as Cloud Hyperscalers fundamentals of IaaS, PaaS, Networking, Security, Encryption, Identity and Access Management, and Disaster Recovery Planning
5. Data Engineering concepts and frameworks like batch processing, stream processing, replication, SQL, DBT, Talend, Informatica, Python, Snowpark, PySpark, DataFrames, storage formats Parquet, Avro, Apache Iceberg, Delta Lake, Orchestration, and DevOps
6. Business Intelligence and analytics solutions like Tableau, PowerBI, MicroStrategy, Thoughtspot, SAS, Streamlit, and techniques like time series analysis, Advanced SQL, statistical analysis linear regression, variance analysis, modeling, and forecasting
7. AI/ML understanding of key concepts like classification, regression, clustering, dimensionality reduction, Natural Language Processing, and Language Models
Desirable Skills
A strong industry experience in Financial services, Retail, or Healthcare & Life Sciences is advantageous.
We offer flexible remote work arrangements with occasional presence required in our Zurich office.
Benefits
We provide a competitive salary, equity, and comprehensive benefits package including private medical insurance, pension plans, and parental leave support. We are ranked #1 in the Fortune Future 50 List and strive to be a leader in innovation and technological advancements.