Key responsibilities:

  • Architect on-premises and cloud data platforms.
  • Build data ingestion, pipelines, and ETL/ELT processes.
  • Define solution architecture, governance, and documentation.
  • Perform conceptual, logical, and physical data modelling.
  • Manage versioning and modelling standards.
  • Support pre-sales and contribute to proposals.

Requirements:

  • 10+ years of experience in data architecture, modelling, and data warehousing or Lakehouse.
  • 10+ years of experience in data integration and ETL/ELT.
  • Strong experience with Azure Data Lakehouse, Databricks, and MS Fabric.
  • Experience with ADF, Databricks, ODI, and IDMC.
  • Knowledge of SQL, NoSQL, Python, Scala, Spark, Kafka, and CI/CD.
  • Ability to translate business requirements into technical data models.
  • Professional certifications in Azure, Databricks, DMBoK CDMP, or TOGAF.