Customer Solutions Architect, USA East
AtlanSalary not specified
- Full Time
- Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates should have 5+ years of architecture and data engineering experience within the Enterprise Data space and 5+ years of experience within a pre-sales environment. Outstanding presenting skills to both technical and executive audiences are required, along with a broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics, and cloud technologies. Hands-on development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive, and other Big Data technologies is necessary. Candidates must also have the ability to connect a customer’s specific business problems with Snowflake’s solutions and possess some prior knowledge of Data Engineering tools for ingestion, transformation, and curation. Familiarity with real-time or near real-time use cases and technologies is essential.
Responsibilities
The Data Platform Architect will provide leadership in the design and architecture of the Snowflake Cloud Data Platform and work directly with the sales team and channel partners to understand customer needs. They will strategize on navigating winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. The role involves presenting Snowflake technology and vision to executives and technical contributors, demonstrating the value of Snowflake technology throughout the sales cycle, and collaborating with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products.
Skills
SQL
Python
Pandas
Spark
PySpark
Hadoop
Hive
Data Warehouse
Data Lake
Data Engineering
ETL
Cloud Technologies
CDC
Kafka
Flink
Big Data
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