Solutions Architect - Migrations

February 11

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Logo of Snowflake

Snowflake

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

5001 - 10000 employees

Founded 2012

🏒 Enterprise

☁️ SaaS

πŸ“‹ Description

β€’ Build the future of the AI Data Cloud. Join the Snowflake team. β€’ Lead and execute complex migrations from legacy systems to the Snowflake platform. β€’ Collaborate closely with customers and system integrators to understand their requirements and design robust migration strategies. β€’ Maintain deep understanding of competitive and complementary technologies and how to position Snowflake in relation to them. β€’ Create presentations and document learnings from the project. Develop utilities and accelerators to streamline migration activities. β€’ Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing.

🎯 Requirements

β€’ Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer β€’ Experience migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform β€’ Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. β€’ End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure, GCP) β€’ Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos β€’ Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools β€’ Extensive hands-on expertise with SQL and SQL analytics and scripting languages like Python, Bash, Shell etc. β€’ University degree in computer science, engineering, mathematics or related fields, or equivalent experience β€’ 3 years of technical consulting experience preferred β€’ Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) β€’ Familiarity and experience with common BI and data exploration tools (e.g. Power BI, Microstrategy, Business Objects, Tableau) β€’ Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, OpenStack, etc.) β€’ Experience implementing ETL pipelines using custom, packaged tools and software development experience using C/C++, Java etc. β€’ SnowPro Core Certification preferred

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