Snowflake is a cloud-based data-warehousing company that provides an innovative platform for data storage, processing, and analytics. It enables organizations to handle large volumes of data efficiently, facilitating insights and business intelligence. Snowflake's architecture supports various data workloads, making it a versatile solution for enterprises looking to leverage their data for strategic decision-making.
Data Warehousing β’ Cloud β’ Analytics β’ Data Lake β’ Marketing Analytics
April 14
π½ Illinois β Remote
π΅ $141k - $196.3k / year
β° Full Time
π Senior
π΄ Lead
π° Data Engineer
π¦ H1B Visa Sponsor
Apache
AWS
Cloud
ETL
Greenplum
Hadoop
HBase
Informatica
Matillion
Open Source
Oracle
Perl
Python
Ruby
Spark
SQL
Tableau
Snowflake is a cloud-based data-warehousing company that provides an innovative platform for data storage, processing, and analytics. It enables organizations to handle large volumes of data efficiently, facilitating insights and business intelligence. Snowflake's architecture supports various data workloads, making it a versatile solution for enterprises looking to leverage their data for strategic decision-making.
Data Warehousing β’ Cloud β’ Analytics β’ Data Lake β’ Marketing Analytics
β’ Manage a team of Solutions Architects and Consultants β’ Mentor a team identifying strengths and growth opportunities β’ Leverage your own Snowflake technical expertise to assess quality β’ Act as the first level of escalation management for delivery concerns β’ Recruit, hire and prepare our future team members for success
β’ University degree in computer science, engineering, mathematics or related fields, or equivalent experience β’ Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role β’ Minimum 5 years of people management experience; experience mentoring, coaching and developing teams β’ Minimum 5 years of experience in selling or positioning professional services β’ Must have Data engineering experience with Spark, Iceberg, data ingestion strategy β’ Outstanding skills presenting to both technical and executive audiences β’ Understanding of complete data analytics stack and workflow β’ Strong skills in databases, data warehouses, and data processing
β’ Remote work available β’ Opportunity to mentor and train team members β’ Engage in strategic projects β’ Work with sales teams to close growth opportunities
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