Solutions Architect, Data Processing
NVIDIASalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Job Description
Position Overview
- Location Type: Remote, Bangalore
- Employment Type: Full-Time
- Salary: Not Specified
- Description: Join the Snowflake team to build the future of the AI Data Cloud. We are seeking a Solutions Architect to be part of our Professional Services team, deploying cloud products and services for our customers’ Global Competency Centers in India. This role requires a hands-on, self-starter passionate about solving innovative problems in a fast-paced, agile environment. The ideal candidate will connect business problems with Snowflake’s solutions and communicate that connection to various technical and executive audiences. This person will possess a broad range of skills and experience, including data architecture, ETL, security, performance analysis, analytics, etc.
Requirements
- Hands-on experience with data architecture, ETL, security, performance analysis, and analytics.
- Ability to connect specific business problems to Snowflake’s solution.
- Strong communication and presentation skills to effectively communicate technical concepts to both technical and executive audiences.
- Self-starter with the flexibility and willingness to adapt to a dynamic environment.
- Passion for data and analytics technologies.
- Ability to collaborate effectively with internal and external stakeholders.
Responsibilities
- Serve as a technical expert on all aspects of Snowflake.
- Present Snowflake technology and vision to executives and technical contributors to customers.
- Position yourself as a Trusted Advisor to key customer stakeholders, focusing on achieving their desired Business Outcomes.
- Drive project teams towards common goals, accelerating Snowflake solution adoption.
- Demonstrate and communicate the value of Snowflake technology throughout the engagement lifecycle (demo, proof of concept, workshops, design sessions, and implementation).
- Create repeatable processes and documentation as a result of customer engagement.
- Collaborate on and create Industry based solutions to drive more value out of Snowflake.
- Deploy Snowflake following best practices, ensuring knowledge transfer for customers.
- Maintain a deep understanding of competitive and complementary technologies.
- Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments.
- Ability to position Snowflake effectively.
Application Instructions
- Not Specified
Company Information
- Company: Snowflake
- Industry: Cloud Computing, Data Management
- Focus: Reinventing the data platform.
Skills
data architecture
ETL
security
performance analysis
analytics
communication
presentation
data modeling
business problem solving
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