Chief Data Architect for Big Data Solutions

4 weeks ago


Sydney, New South Wales, Australia Commonwealth Bank of Australia Full time

We are seeking an experienced Chief Data Architect to lead our team in designing and implementing cutting-edge big data solutions.

The ideal candidate will have a strong background in data modelling, architecture, and development in analytics and data warehousing. A minimum of 10 years' experience in design, architecture or development is required.

Key Responsibilities:

  • Design and implement end-to-end big data solutions using Hadoop ecosystems (Hive, HDFS, Pig, HBase, Flume, Kafka, Sqoop, YARN, Impala)
  • Produce semantic, conceptual, logical and physical data models using data modelling techniques such as Data Vault, Dimensional Modelling, 3NF, etc.
  • Design data warehousing and enterprise analytics-based solutions using Teradata or relevant data platforms

Requirements:

  • Minimum 10 years' experience in design, architecture or development in Analytics and Data Warehousing
  • Experience in solution design, solution governance and implementing end-to-end Big Data solutions using Hadoop eco-systems
  • Ability to produce semantic, conceptual, logical and physical data models using data modelling techniques
  • Expertise in design patterns (FSLDM, IBM IFW DW) and data modelling frameworks including dimensional, star and non-dimensional schemas

What We Offer:

  • A highly competitive salary of $140,000 - $200,000 per annum, based on experience
  • A comprehensive benefits package including health insurance, superannuation, and annual leave
  • The opportunity to work with a dynamic and innovative team in the Commonwealth Bank of Australia


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