Data Architect (AWS)

Years of Experience: 10 to 15 years,

Hands-on expertise in AWS data services such as S3, Glue, EMR, Redshift, Athena, Lake Formation, Kinesis or MSK, Step Functions or MWAA, and IAM.

Strong Spark (PySpark or Scala) and SQL skills; experience with Databricks or a comparable lakehouse platform.

Experience delivering at least one legacy warehouse or data hub migration to the cloud through to production.

Strong knowledge of data modelling, data quality frameworks and metadata management.