Senior Data & AI Platform Architect

Anson Mccade; City of Melbourne; On-site; AUD 180,000 - 230,000; Full time

Job summary

Anson Mccade in Melbourne seeks an experienced Senior Architect to lead design and delivery of next-generation data and AI platforms across enterprise environments.

You will combine architecture expertise with hands-on data engineering, shaping cloud data solutions across AWS, Azure and GCP. The role suits someone who enjoys solving complex problems, defining future-state architecture, and staying close to delivery.

Qualifications

• Broad data architecture experience with deep data engineering technologies.
• Experience with modern cloud data platforms and lakehouse architectures.
• Ability to translate business requirements into scalable data solutions.

Responsibilities

• Designing and delivering modern cloud-based data and AI architectures.
• Assessing existing environments and defining future-state data platforms.
• Leading technical design sessions and translating complex requirements into practical solutions.
• Building modern lakehouse, warehouse, streaming and data engineering platforms.
• Evaluating architectural options, articulating trade-offs and driving technical decisions.
• Breaking complex solutions into clear engineering workstreams.
• Providing technical leadership across engineering teams.
• Remaining hands-on across architecture, engineering and solution design.
• Supporting solution shaping and technical scoping for new initiatives.

Skills

Lakehouse

Big Data

Cloud Platforms

Data Engineering

Python

Scala

Java

SQL

Streaming

AI/ML

Orchestration

Kubernetes

BI Tools

Cloud (AWS/Azure/GCP)

Tools

Databricks

Apache Spark

Delta Lake

Apache Iceberg

Snowflake

Databricks SQL

Redshift

Azure Synapse

Fivetran

dbt

Airflow

Job description

Anson Mccade in Melbourne seeks an experienced Senior Architect to lead design and delivery of next-generation data and AI platforms across enterprise environments.

You will combine architecture expertise with hands-on data engineering, shaping cloud data solutions across AWS, Azure and GCP. The role suits someone who enjoys solving complex problems, defining future-state architecture, and staying close to delivery.