Solutions Architect
Flatfile$160,000 - $190,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Data & AnalyticsIndustries
Position Overview
- Location Type: Remote
- Employment Type: Full-Time
- Salary: (Not provided)
Join the Snowflake team and build the future of the AI Data Cloud! We are seeking technology thought leaders with a strong background in building data platforms who love to generate value by supercharging data teams. This role is in our Professional Services & Training team in Germany and requires fluency or native German. You will work on some of the most challenging data projects in the world, in a post-sales capacity, helping customers on their data journey with Snowflake.
What We Do
- Professional Services: Provide expert advisory services to customers and help them build enterprise solutions.
- Customer Journey Examples:
- Migration Projects: Planning and executing the migration of workloads to Snowflake.
- Greenfield Projects: Simultaneously teaching and demonstrating best practices for working with Snowflake, translating them to customer-specific use cases.
- Long-Term Continuous Engagements: Guiding customers from initial setup to onboarding and deployment of hundreds of use cases.
- Focus: Solving complex data management and governance challenges. Striving to be customers' trusted technology advisors and maximizing the value from their Snowflake investment.
What a Solutions Architect at Snowflake Does
- Customer Engagement: Engage with several Snowflake customers.
- Technical Leadership: Lead technical streams of client data platform implementations and onboarding efforts.
- Collaboration: Work with other Customer Engagement and Delivery matrix resources.
- Support: Collaborate with different Snowflake organizations (Engineering, Support, Sales, and Marketing).
- Troubleshooting: Help clients troubleshoot implementations and integrate the product within their ecosystem.
- Issue Management: Identify, document, triage, and track issues to ensure resolution.
- Feedback & Recommendations: Actively contribute to the growth of the Customer Delivery and Training teams by providing robust documentation, continuous process optimization, and capability cross-training.
- Expertise Application: Apply industry/domain/technology expertise to client implementations.
- Customer Feedback: Gather intelligent product feedback and recommendations from customers to design and inform new features and capabilities.
Requirements
- Strong background in building data platforms.
- Fluency or native German language skills are required.
Responsibilities
- Engage with Snowflake customers.
- Lead technical streams of client data platform implementations and onboarding efforts.
- Work with other Customer Engagement and Delivery matrix resources.
- Collaborate with different Snowflake organizations.
- Help clients troubleshoot their implementations and integrate the product within their ecosystem.
- Identify, document, triage, and track issues to ensure resolution.
- Contribute to the growth and scalability of the Customer Delivery and Training teams.
- Apply industry/domain/technology expertise to client implementations.
- Gather intelligent product feedback and recommendations from customers.
Company Information
- Mission: To mobilize the world's data, so that businesses can be truly data-driven.
- YouTube Channel: https://www.youtube.com/ (Example of how Snowflake has helped companies in various industries)
Skills
Data Platform
Data Migration
Data Governance
Snowflake
Customer Engagement
Technical Leadership
Troubleshooting
Issue Management
Snowflake
Data management and analytics platform
About Snowflake
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees