Cloud Data Architect

September 26

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Description

β€’ As the Enterprise Data Architect and a skilled Data Cloud Engineer, you will design and develop innovative solutions for our data ecosystem. β€’ You will contribute recommendations and roadmaps for future architecture. β€’ Play a key role in maintaining and updating all strategic architecture plans and documentation. β€’ Participate in technical and architecture activities for decision making. β€’ Build POCs that can be evaluated by others and used to determine the viability of a solution. β€’ Serve as a mentor to colleagues, sharing knowledge and expertise. β€’ Provide innovative ideas leveraging cutting-edge technologies for data management and analytics. β€’ Actively engage in the development of the enterprise data platform. β€’ Contribute to the optimization of costs within the AWS data platform.

Requirements

β€’ College degree in Computer Science, Data Engineering, Computer Engineering, or related field of study. β€’ B.S. or B.A. preferred. β€’ 5 years or more of experience in a relevant technology field. β€’ Proficiency in managing and optimizing AWS RedShift databases. β€’ Hands-on experience in designing, building, and optimizing data pipelines on AWS using services like AWS Glue, Amazon EMR, or Apache Spark. β€’ Experience in architecting and implementing data warehousing solutions on AWS, leveraging services like Amazon Redshift for scalable and high-performance analytics. β€’ Expertise in designing and implementing Extract, Transform, Load (ETL) processes. β€’ Essential expertise in Python programming within the context of data engineering. β€’ Familiarity with serverless computing on AWS, utilizing services like AWS Lambda. β€’ Knowledge of implementing robust data security measures on AWS. β€’ Proven ability to implement monitoring solutions and optimize data engineering workflows on AWS. β€’ Experience in collaborating with cross-functional teams and documenting data engineering processes. β€’ Demonstrated capability in identifying and resolving data engineering challenges. β€’ A commitment to staying updated on the latest AWS cloud data engineering trends.

Benefits

β€’ Competitive healthcare, dental & vision insurance β€’ 401(k) matching after one year of employment β€’ Generous time off + company holidays β€’ Merchandise discount β€’ Learning & Development programs β€’ Much more!

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