AWS Data Engineering 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:

Ø  Extensive experience with AWS data services including AWS EMR Glue S3 Redshift and other related technologies.

Ø  Proven Architect and design advanced data engineering frameworks on AWS EMR/Glue Apache Spark and other AWS Data services technology.

Ø  Strong experience with DBT or similar framework and modern data architecture principles.

Ø  Develop strategic plans for scalable data solutions overseeing their implementation and maintenance.

Ø  Define and enforce architectural standards and frameworks for data ingestion processing storage and retrieval.

Ø  Lead collaboration with cross-functional teams to ensure adoption of data engineering frameworks are leveraged to deliver solutions

Ø  Provide mentorship and architectural guidance to the data engineering team.

Minimum Qualifications:

Ø  Bachelor’s or Master’s degree in Computer Science Engineering or a related technical field.

Ø  7+ years of experience in data engineering with a focus on AWS-based solutions.

Ø  Proficient in designing and implementing data engineering frameworks such as DBT SQLMesh or Coalesce.

Ø  Extensive knowledge of AWS services particularly EMR and Glue.

Ø  Strong grasp of data warehousing ETL concepts and data modeling techniques.

Preferred Qualifications:

Ø AWS Certified Solutions Architect or AWS Certified Big Data Specialty certification.

Ø Experience with infrastructure as code (e.g. Terraform AWS CloudFormation).