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: (Salary not provided in the description)
Join the Snowflake team and build the future of the AI Data Cloud! Snowflake Professional Services is the implementation and strategy experts for the Snowflake platform. We work with customers throughout their journey to optimize, accelerate, and achieve business outcomes. As a Solutions Architect, you'll demonstrate technical leadership by writing code, designing solution architectures, and guiding customers to impactful outcomes. You’ll advise developers and executives on how to leverage Snowflake for business success.
Requirements
- Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer.
- Experience migrating from one data platform to another and addressing the unique challenges of migrating to a new platform.
- Hands-on experience with data warehouse systems including: Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc.
- End-to-end experience migrating on-premise data warehouse solutions to the cloud (AWS, Azure, GCP).
- Outstanding skills presenting to both technical and executive audiences.
Responsibilities
- Design comprehensive migration plans and solutions tailored to customer needs and architecture, ensuring a seamless transition to Snowflake.
- Partner with customers as the technical expert for all aspects of Snowflake during implementation.
- Deploy Snowflake following best practices, ensuring knowledge transfer for customer enablement.
- Maintain deep understanding of competitive and complementary technologies and how to position Snowflake.
- Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake.
- Create presentations and document learnings from projects.
- Develop utilities and accelerators to streamline migration and related activities.
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
Application Instructions
- (Application instructions not provided in the description)
Skills
Snowflake
BigQuery
Teradata
Redshift
Netezza
SAP HANA
Greenplum
Exadata
Data Migration
Data Warehouse
Cloud Migration
AWS
Azure
GCP
Solution Architecture
Data Architecture
Database Administration
Data Engineering
Presenting
Technical Documentation
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