Solutions Architect
Flatfile$160,000 - $190,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Cloud Computing, Software & TechnologyIndustries
Position Overview
- Location Type: Remote
- Job Type: Full-Time
- Salary: (Not provided in the description)
Join the Snowflake team and help build the future of the AI Data Cloud! We are seeking a Solutions Architect to join our Professional Services team. This role involves deploying cloud products and services for our customers. You'll be a hands-on, self-starter who enjoys solving innovative problems in a fast-paced, agile environment. The ideal candidate can connect a specific business problem with a Snowflake solution and effectively communicate that connection and vision to various technical and executive audiences. You’ll thrive in a dynamic environment, embracing flexibility and a willingness to tackle what’s needed to ensure Snowflake and our customers’ success. Staying current with evolving data and analytics technologies is key, making you a valuable resource for Snowflake, System Integrators, and customers. Collaboration with internal and external stakeholders is crucial.
Requirements
- Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role.
- Experience migrating from one data platform to another, understanding and addressing the unique challenges of migration.
- University degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
- Strong skills in presenting to both technical and executive audiences.
- Understanding of the complete data analytics stack and workflow (from ETL to data platform design to BI and analytics tools).
- Extensive hands-on expertise with SQL and SQL analytics.
- Experience and a track record of success selling data and/or related technologies.
Responsibilities
- Be a technical expert on all aspects of Snowflake.
- Guide customers through the process of migrating to Snowflake and develop methodologies to improve the migration process.
- Deploy Snowflake following best practices, ensuring knowledge transfer for customers to independently extend Snowflake's capabilities.
- Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology.
- Maintain a deep understanding of competitive and complementary technologies and vendors, positioning Snowflake effectively.
- Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments.
- Provide guidance on how to resolve customer-specific technical challenges.
- Support other members of the Professional Services team in developing their expertise.
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
Application Instructions
- (Not provided in the description)
Company Information
- Company: Snowflake
- Industry: Cloud Computing
- Focus: Reinventing the data platform.
Skills
SQL
SQL analytics
Data migration
Data platform design
ETL
BI
Analytics tools
Presentation skills
Cloud deployment
Stakeholder collaboration
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