Program Delivery / Data Architecture With Nv2
XPT Software Australia Pty Ltd - Melbourne, VIC
IT
Source: uWorkin JOB DESCRIPTION
This is a remote position.
Develop and implement data architecture standards and processes. This is a remote position.
Develop and implement data architecture standards and processes.
This includes defining the data model, data architecture, data integration, and data security standards.
Responsible for analysing and documenting data architecture to ensure that it meets our requirements and meets the data security and compliance standards.
Maintain data warehouse and ETL processes
Responsible for managing data warehouse and ETL processes to ensure that data is stored and managed.
Recommend data technologies Responsible for recommending data technologies that are best suited to meet our data needs.
Develop data quality standards.
Responsible for managing data quality standards to ensure that the data is accurate and up-to-date.
Responsible for creating and maintaining comprehensive Data Architecture artifacts to support Association Enterprise Data Architect.
Work closely with Data Architect and Data Governance Leads to set out the Data Strategy and help align with the road-map.
Preferred candidate profile:
Develop and implement data architecture and governance strategies to ensure that data is secure and organised.
Grows the enterprise data architecture and related data management processes to meet our 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.
Also, 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.
Must have:
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.
Data Architecture, Data Modeling, SQl/PLSQL,ETL & Datawarehouse, Data Analysis and Data Flows, Cloud Technologies (Azure + Snowflake)
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