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Data Architect

2 months ago

Melbourne, Victoria, Australia XPT Software Australia Pty Ltd Full time
Job Title: Program Delivery

This is a remote position.

Key Responsibilities:
  • Define data model, data architecture, data integration, and data security standards.
  • Analyse and document data architecture to ensure it meets requirements and data security and compliance standards.
  • Maintain data warehouse and ETL processes.
  • Manage data warehouse and ETL processes to ensure data is stored and managed.
  • Recommend data technologies that meet data needs.
  • Develop data quality standards.
  • Manage data quality standards to ensure data is accurate and up-to-date.
  • Create and maintain comprehensive Data Architecture artifacts to support Association Enterprise Data Architect.
  • Work closely with Data Architect and Data Governance Leads to set out Data Strategy and help align with the road-map.
Preferred Candidate Profile:
  • Develop and implement data architecture and governance strategies to ensure data is secure and organised.
  • Grows the enterprise data architecture and related data management processes to meet data goals.
  • Oversee the development of data models, data warehouses, data pipelines.
  • Work to ensure data quality and accuracy and provides guidance to the development team on data management and analytics best practices.
  • Develop standards and procedures to Manage Enterprise Architecture ensure compliance with data privacy, security, and other industry best practices.
  • Closely work with Architecture team to create documentation and set up processes.
Requirements:
  • 8+ years of experience working as a Data Architect or related role.
  • Proven experience in data modeling and architecture.
  • Strong knowledge of data warehouse and OLAP structures, data architecture principles, techniques, and tools.
  • Advanced knowledge of technologies such as FiveTran, Snowflake, Power BI, Sql coding, Data Cataloguing and Classification.
  • Expertise in data mining, data warehousing, and ETL processes.
  • Experience with Big Data technologies such as Hadoop, Spark, and Kafka.
  • Knowledge of cloud computing platforms such as AWS, Azure, and Google Cloud.
  • Knowledge of data security and privacy regulations, such as GDPR and HIPAA.