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, Enterprise SoftwareIndustries
Position Overview
- Location Type: Remote
- Job Type: Full-Time
- Salary: Not specified (Refer to Snowflake Careers Site for US-based roles: careers.snowflake.com)
- Description: This role seeks a Solutions Architect to join the Professional Services team at Snowflake, focusing on technical delivery and helping customers maximize their Snowflake implementations. The ideal candidate will bridge business problems with Snowflake solutions, communicate insights to various technical and executive audiences, and contribute to ongoing product and marketing improvements.
Requirements
- Experience: Minimum 8-10 years of experience in a pre-sales or post-sales technical role with customers.
- Customer Understanding: Ability to accurately identify customer needs and propose project execution strategies.
- Communication Skills: Excellent presentation and demonstration skills for both technical and executive audiences.
- Data Stack Knowledge: Deep understanding of the complete data analysis stack, including ETL, data platforms, BI, and analytics tools.
- Database Expertise: Design, implementation skills for databases, data warehouses, and data processing.
- SQL Proficiency: Extensive experience with SQL and SQL analytics.
- Scripting Skills: Experience with scripting languages such as Python, Ruby, Perl, or Bash.
- Flexibility: Ability to work with customers on-site and travel as needed.
Responsibilities
- Act as a technical expert for all aspects of Snowflake, contributing to knowledge sharing and best practices for deployment.
- Demonstrate Snowflake technology best practices through hands-on work with customers.
- Maintain a deep understanding of competitors and how Snowflake fits within the broader technology landscape.
- Work closely with system integrators to successfully position and implement Snowflake in customer environments.
- Provide guidance on solutions to customer-specific technical challenges.
- Support the development of technical expertise among other Professional Services team members.
- Collaborate with product management, engineering, and marketing to continuously improve Snowflake products and marketing efforts.
- Experience with data migration projects.
- Design/implement AI/ML within data analysis platforms (Nice to Have).
Nice to Have (Bonus Skills)
- Experience and knowledge of big data processing tools (e.g., Spark, Hadoop, HBase).
- Understanding and experience with BI and data exploration tools (e.g., Microstrategy, Business Objects, Tableau).
- Experience implementing ETL pipelines using custom and packaged tools.
- Experience and understanding of large infrastructure service platforms (e.g., Amazon AWS, Microsoft Azure, Google Cloud Platform).
- Experience using AWS services (e.g., S3, Kinesis, Elastic MapReduce, Data Pipeline).
Company Information
- Company: Snowflake
- Mission: To mobilize “all data worldwide” and eliminate data silos.
- Team: Professional Services team (Japan) focused on technical delivery and customer success.
- Benefits (Japan): Free lunch at office, 401K, RSU, Phone & Gym reimbursement, Paid Parental Leave, 3-day Summer Vacation & 5-day Year-end Holidays.
- Growth: Snowflake is growing rapidly and scaling its team to enable and accelerate growth.
- Culture: Seeking individuals who share values, challenge ordinary thinking, and push the pace of innovation.
Skills
SQL
ETL
Data Platforms
BI
Analytics Tools
Database Design
Data Warehousing
Data Processing
Python
Ruby
Perl
Bash
Presentation
Customer Communication
Technical Delivery
Pre-sales/Post-sales Support
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