Job Description
LTM
(formerly LTIMindtree) is a global, AI-centric technology services and digital transformation partner helping enterprises reimagine business models, accelerate innovation, and drive growth through data, AI, cloud, and digital engineering. Trusted by leading organisations worldwide, LTM combines deep industry expertise with advanced analytics and intelligent automation to deliver measurable business outcomes and competitive advantage in an increasingly data-driven world. For more information visit - www.ltm.com
LTM is a global technology consulting and digital transformation leader, helping enterprises accelerate innovation and unlock the full potential of cloud, data, and AI. In Australia, we partner with leading public sector and enterprise clients to deliver secure, scalable, and future-ready data solutions.
We are seeking an experienced
Analytics Data Architect (NV1/2 Cleared)
to join our growing Microsoft Azure practice — working on high-impact data transformation programs across Government and Defence.
NV1/NV2 security clearance required!
Positional Overview -
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.
Requirements:
Active NV1/2 Security Clearance (mandatory for this role).
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.
LTM Australia:
Work on nation‑critical projects with a top‑tier global systems integrator.
Be part of a fast‑growing Azure & Data Analytics practice.
Access continuous learning, certifications, and leadership pathways.
Enjoy flexible work arrangements and an inclusive culture that values innovation and collaboration.
LTM is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender‑identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio‑economic status, disability or any other characteristic protected by applicable law.
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