AWS Data Architect - Snowflake, Data Warehousing, ETL

Role Summary

This role is a great fit for individuals who have a robust background in AWS data architecture and a passion for creating innovative data solutions. The AWS Data Architect will focus on building effective data systems tailored for the pharmaceutical, healthcare, and life sciences sectors.

Responsibilities

• Architect and implement scalable data solutions on AWS that ensure high performance and availability for our clients.
• Engage with diverse teams to collect requirements and develop comprehensive technical specifications.
• Design and execute ETL processes for seamless data integration from multiple sources into data warehouses.
• Leverage Snowflake for efficient data storage, ensuring optimal performance while managing costs effectively.
• Maintain data integrity and quality across all stages of the data lifecycle.
• Offer expert guidance and mentorship to junior team members in best practices and technical skills.
• Keep abreast of emerging trends in data architecture along with advancements in AWS services.

Must-Have Skills

• In-depth experience with AWS services, especially related to data architecture and cloud-based solutions.
• Strong expertise in Snowflake and fundamental concepts of data warehousing.
• Proficient in ETL methodologies and tools used for integrating various data sources.
• Advanced SQL skills for effective data querying and manipulation.
• Familiarity with regulations and standards within the pharmaceutical, healthcare, or life sciences industries is advantageous.
• Exceptional analytical abilities paired with strong problem-solving skills.

Good-to-Have Skills

• Experience in working with large datasets in real-time processing environments.
• Knowledge of additional cloud platforms beyond AWS can be beneficial.