Solutions Architect
Flatfile$160,000 - $190,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 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 in the text)
Join the Snowflake team and help build the future of the AI Data Cloud! We are seeking a world-class Technical Solutions Architect to be part of a team responsible for the technical deployments of Snowflake at our customers. This role requires a self-starter comfortable in a fast-paced, energetic environment and adept at handling ambiguity. You’ll be passionate about solving complex, world-changing technology problems and dedicated to making Snowflake’s customers successful.
This position demands broad skills and experience spanning data architecture, ETL, security, performance analysis, analytics, and more. You’ll bridge the gap between customer business challenges and Snowflake’s solutions, effectively communicating the connection and vision to diverse technical and executive audiences. You’ll not only build demos and execute proof-of-concepts but also provide consultative assistance on architecture and implementation.
This person thrives in a dynamic environment, demonstrating flexibility and a willingness to tackle whatever is needed to ensure Snowflake and its customers succeed. Staying current with evolving data and analytics technologies is crucial, making you an authoritative resource for Snowflake, System Integrators, and customers. Collaboration with internal and external stakeholders is also essential.
Requirements
- Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role.
- University degree in computer science, engineering, mathematics, or a related field.
Responsibilities
- Deploy Snowflake following best practices, ensuring knowledge transfer for customer enablement.
- Work directly with customers and System Integrators to deploy Snowflake.
- Be a technical expert on all aspects of Snowflake.
- Demonstrate and communicate Snowflake implementation best practices.
- Maintain a deep understanding of competitive and complementary technologies and vendors.
- Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake.
- Provide guidance on resolving customer-specific technical challenges.
- Support Professional Services team members in developing their expertise.
- Collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products and marketing.
Application Instructions
- (Not provided in the text)
Skills
Data Architecture
ETL
Security
Performance Analysis
Analytics
Snowflake
Customer Communication
Technical Consulting
Proof of Concept
Data Modeling
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