AWS Data Engineering Architect

September 12

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Description

• We are in search of a Data Engineering Framework Architect with a specialty in designing and building innovative data solutions on AWS. • The ideal candidate will have a deep understanding of data engineering frameworks such as DBT, SQLMesh, and Coalesce, and will lead the architecture and implementation of these frameworks within AWS EMR/Glue environments. • Extensive experience with AWS data services, including AWS EMR, Glue, S3, Redshift, and other related technologies. • Proven Architect and design advanced data engineering frameworks on AWS EMR/Glue, Apache Spark and other AWS Data services technology. • Strong experience with DBT or similar framework and modern data architecture principles. • Develop strategic plans for scalable data solutions, overseeing their implementation and maintenance. • Define and enforce architectural standards and frameworks for data ingestion, processing, storage, and retrieval. • Lead collaboration with cross-functional teams to ensure adoption of data engineering frameworks are leveraged to deliver solutions. • Provide mentorship and architectural guidance to the data engineering team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. • 7+ years of experience in data engineering with a focus on AWS-based solutions. • Proficient in designing and implementing data engineering frameworks such as DBT, SQLMesh, or Coalesce. • Extensive knowledge of AWS services, particularly EMR and Glue. • Strong grasp of data warehousing, ETL concepts, and data modeling techniques.