About the job

We are looking for an experienced Data Architect / Senior Technology Architect to design and deliver scalable, cloud-native data platforms using Databricks, Python, PySpark, and AWS. Mandatory Skills: Databricks Architecture Python & PySpark Strong Data Engineering background Azure & AWS Solution Architecture experience Client and stakeholder management experience Key Technical Requirements:

  • Strong hands-on experience with Databricks, Spark, PySpark, and SQL
  • Experience building scalable batch and streaming data pipelines
  • Knowledge of data lake architecture and the Medallion Architecture (Bronze, Silver, Gold)
  • Experience integrating legacy systems such as DB2 (Mainframe) and SQL Server
  • Understanding of Data Mesh principles and data product development
  • Experience with data quality, governance, security, and pipeline reliability Nice-to-Have Skills: Kafka / Confluent Kafka AWS services, especially Amazon S3 Data governance, metadata management, and regulatory reporting

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