Data Architect - AWS

CareCone Group; Sydney; On-site; AUD 140,000 - 210,000; Full time

Job summary

CareCone Group is seeking an experienced AWS Data Architect to define enterprise data architecture, standards, and governance from Sydney, Australia. You will design end-to-end data solutions spanning ingestion, storage, processing, and analytics, and lead modernization of the data platform from on‑prem to cloud.

In this role, you will ensure data quality, security, lineage, and compliance while collaborating with business, analytics, and AI teams to translate requirements into scalable

Qualifications

• Define enterprise data architecture, standards, and governance.
• Design end-to-end data solutions including ingestion, storage, processing, and analytics.
• Lead data platform modernization (on-prem to cloud).
• Ensure data quality, security, lineage, and compliance.
• Collaborate with business, analytics, and AI teams.
• Guide implementation teams and review data models and designs.

Responsibilities

• Define enterprise data architecture, standards, and governance.
• Design end-to-end data solutions including ingestion, storage, processing, and analytics.
• Lead data platform modernization (on-prem to cloud).
• Ensure data quality, security, lineage, and compliance.
• Collaborate with business, analytics, and AI teams.
• Guide implementation teams and review data models and designs.

Skills

Data architecture

AWS services knowledge

Tools

AWS Glue

Amazon Redshift

Amazon Kinesis

Amazon S3

Job description

• Define enterprise data architecture, standards, and governance
• Design end-to-end data solutions including ingestion, storage, processing, and analytics
• Lead data platform modernization (on-prem to cloud)
• Ensure data quality, security, lineage, and compliance
• Collaborate with business, analytics, and AI teams
• Guide implementation teams and review data models and designs

AWS Data Architects need to know a lot about core AWS data services. This includes:

• AWS Glue for data integration and ETL operations
• Amazon Redshift for data warehousing and analytics
• Amazon Kinesis for real-time data processing
• Amazon S3 for scalable storage solutions

Knowing these services well is key to creating efficient data pipelines and systems.