Data Architect

We are seeking a highly skilled and experienced Lead Data Architect to design and implement our standard data architecture. You will be instrumental in building a robust, scalable, and secure data ecosystem that drives business intelligence and advanced analytics.

If you are a visionary architect with a proven track record of delivering end-to-end data solutions, we want to hear from you.

Your Role and Responsibilities:

• Lead the design and implementation of our core data architecture, including our Data Lake and analytics platform.
• Utilise Databricks to build scalable data pipelines, manage data workflows, and enable advanced analytics and machine learning.
• Oversee the development of our business intelligence layer, ensuring data is accurately and efficiently visualised using Power BI.
• Leverage AWS services for data ingestion, storage, processing, and governance.
• Ensure the data architecture is optimised for performance, security, and cost-effectiveness.
• Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions.

Key Skills and Experience:

• Proven experience designing and implementing a modern data architecture.
• Deep expertise with Databricks for data engineering and analytics.
• Proficiency in creating and managing dashboards and reports with Power BI.
• Extensive, hands-on experience with AWS data services (e.g., S3, Redshift, Glue, Lambda).
• Strong knowledge of data warehousing, ETL/ELT concepts, and data modeling.
• Excellent problem-solving, communication, and collaboration skills.
• Highly desirable: Experience with Elasticsearch for search and analytics capabilities.

If your a experienced Data Architect with the skillset of the above requirements, please apply or send your CV to jack.thomas@randstaddigital.com.au

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.