Chief Data Architect for Big Data Solutions
4 weeks ago
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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