Solutions Architect
Simon Data90,000 - 130,000 USD/year
- 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 Software, Data & AnalyticsIndustries
Requirements
Candidates should have a minimum of 5 years of experience as a solutions architect, data architect, database administrator, or data engineer. Experience in migrating from one data platform to another is required, along with hands-on experience with data warehouse systems such as Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, and Exadata. End-to-end experience in migrating on-premises data warehouse solutions to the cloud (AWS, Azure, GCP) is essential. Outstanding presentation skills to both technical and executive audiences are necessary, along with a thorough understanding of the complete data analytics stack and workflow.
Responsibilities
The Solutions Architect for Migrations will design comprehensive migration plans and solutions tailored to customer needs, ensuring a seamless transition to Snowflake. They will act as the technical expert for all aspects of Snowflake during implementation and deploy Snowflake following best practices. The role involves maintaining a deep understanding of competitive technologies, collaborating with System Integrator consultants, creating presentations, documenting project learnings, and developing utilities to streamline migration activities. Additionally, collaboration with Product Management, Engineering, and Marketing is required to continuously improve Snowflake’s products.
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.
Key Metrics
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees