Description
Data Engineering Framework Architect
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.
Key Responsibilities:
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.
Minimum Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
5+ 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.
Preferred Qualifications:
AWS Certified Solutions Architect or AWS Certified Big Data Specialty certification.
Experience with infrastructure as code (e.g., Terraform, AWS CloudFormation).
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