Data Architect Lead
6 days ago
eversana is a global leader in next-generation commercialization services for the life sciences industry. We are committed to creating a healthier world through our vision of improving patient lives. Our team of over 7,000 employees is dedicated to delivering innovative solutions that bring therapies to market and support patients worldwide.
About the Role
We are seeking an experienced Cloud Data Architect to enhance and support our Enterprise Cloud Data Warehouse on Snowflake. The ideal candidate will have a strong background in data architecture, experience with Snowflake Cloud Data Warehouse, and proficiency in ETL processes. The successful candidate will design and deliver data models, data integrations, and ETL data pipelines, supporting client project deliverables and ensuring meticulous documentation of solutions provided.
Responsibilities
The Cloud Data Architect will be responsible for designing end-to-end data integration solutions with Enterprise Cloud Data Warehouse, collaborating with cross-functional teams to understand business requirements, and translating them into effective data models. Experience with Snowflake Cloud Data Warehouse Platform is required, as well as knowledge of Snowpipes, Tasks, Streams, Stored Procedures, Data Replication, and Industry best practices for User Access and Data Security. The ideal candidate should also have experience with Secure Data Sharing, implementing best practices for virtual warehouse management, designing and implementing ETL processes using DBT, Qlik Replicate, and Qlik Compose, and developing efficient ETL processes to support data integration from different engagement platforms.
Requirements
To succeed in this role, you should have at least 7 years of experience with Data Warehouse architecture design and solutioning, at least 3 years of experience working with Snowflake Cloud Data Warehouse, and at least 2 projects operating in a Lead Data Architect role. You should also have strong problem-solving and analytical abilities, ability to design, execute, and communicate solutions to different stakeholders, experience with AWS, Python scripting, and proficiency in SQL. A Bachelor's or advanced degree in Computer Science, Information Technology, or a related field is also required.
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