Azure Data Architect - Data Solutions & Analytics Leader

LTM; Australia; Hybrid; AUD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible work arrangements

Continuous learning & certifications

Leadership pathways

Inclusive culture

Job summary

LTM Australia is seeking an Analytics Data Architect to join our Azure data analytics practice, delivering end-to-end data architectures and scalable pipelines for government and defence programs.

You will design ingestion, storage, processing, and analytics using Azure services (Data Factory, Synapse, Databricks, Data Lake, Fabric, Cosmos DB) while ensuring governance, security, and cost optimization in collaboration with data scientists and analysts.

Qualifications

• 10+ years of experience in Data Architecture, Data Engineering, or Cloud Analytics.
• Proven expertise with Microsoft Azure analytics stack (Data Factory, Synapse, Databricks, Data Lake, Fabric, Cosmos DB, Azure SQL).
• Strong background in data modeling, ETL design, and data warehousing.
• Hands-on experience with PostgreSQL and Cosmos DB.
• Solid understanding of enterprise-scale cloud design, migration strategies, and technology governance.
• Excellent communication and stakeholder management skills — able to translate complex technical concepts into business value.

Responsibilities

• Design and implement end-to-end Azure data architecture solutions, covering ingestion, storage, processing, and analytics.
• Develop and maintain Azure Data Architecture frameworks aligned with enterprise standards, governance, and security policies.
• Leverage key Azure services such as Microsoft Fabric, Azure Databricks, Data Lake, Data Factory, Synapse Analytics, Data Explorer, Cosmos DB, and Azure SQL Database.
• Build and maintain scalable data pipelines (ETL/ELT) using Azure Data Factory (ADF) and Synapse, including metadata ingestion and CI/CD automation.
• Provide architectural oversight across data integration, modeling, and analytics pipelines, ensuring best practices in performance, cost, and compliance.
• Collaborate with data scientists and analysts to create data tools, ensuring efficient access to clean, structured data.
• Implement data security, privacy protection, and governance controls within all Azure environments.
• Create technical architecture documents, diagrams, and implementation roadmaps.
• Drive continuous improvement using Microsoft Well-Architected Framework (WAF) and Cloud Adoption Framework (CAF) methodologies.

Skills

Azure analytics stack

Data modeling

ETL design

Data warehousing

Stakeholder communication

Tools

PostgreSQL

Cosmos DB

Azure Data Factory

Synapse

Databricks

Data Lake

Fabric

Azure SQL

Job description

LTM Australia is seeking an Analytics Data Architect to join our Azure data analytics practice, delivering end-to-end data architectures and scalable pipelines for government and defence programs.

You will design ingestion, storage, processing, and analytics using Azure services (Data Factory, Synapse, Databricks, Data Lake, Fabric, Cosmos DB) while ensuring governance, security, and cost optimization in collaboration with data scientists and analysts.