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.
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We are seeking an experienced Data Architect / Principal Data Engineering who can operate as the technical second-in-command to the Data Engineering Lead, owning delivery, architecture, stakeholder engagement, and technical leadership responsibilities, while people management remains with the existing leadership team.
Leadend-to-end data initiativesfrom requirements gathering and solution design through to implementation, testing, and business validation.
Coordinate and provide technical direction to a small team of data engineers.
Manage multiple projects and priorities concurrently, removing blockers and accelerating delivery.
Operate with a high degree of ownership, autonomy, and accountability.
2. Stakeholder Management & Communication
Build strong relationships with both business and technical stakeholders.
Facilitate workshops, gather requirements, manage expectations, and drive outcomes.
Translate business needs into practical, scalable data solutions.
Communicate effectively with technical teams, project managers, vendors, and senior stakeholders.
Design and govern enterprise-scale data platforms, integrations, reporting, and analytics solutions.
Provide architectural leadership and ensure solutions align with business, technical, security, and governance requirements.
Lead architecture reviews, impact assessments, migration planning, and solution assurance activities.
Experience with data warehousing, Lakehouse architectures, data modelling, integration patterns, and data governance.
4. Technical Expertise




Strong working knowledge of:
Databricks Lakehouse
Microsoft Fabric
Power BI
Dynamics 365 Finance & Operations
APIs, data pipelines, and reporting platforms
Hybris
Unity Catalog
Synapse Analytics
CI/CD and DevOps practices
Review vendor proposals, architecture recommendations, and delivery plans.
Ensure compliance with data quality, security, lifecycle management, and operational standards.
6. AI-Enabled & Self-Service Mindset
Effectively leverage AI tools to improve productivity, documentation, analysis, and solution delivery.
Independently research, learn, and understand existing systems with minimal supervision.
Apply sound technical judgement while validating AI-assisted outputs.
Personal Attributes
Solid leadership presence without requiring formal people-management responsibility.
Pragmatic, collaborative, and outcome-focused.
Comfortable operating in ambiguous environments and driving decisions.
Capable of mentoring engineers and influencing stakeholders.
Preferably Sydney-based to facilitate direct engagement with business stakeholders.
Top Selection Criteria
End-to-end project leadership
Stakeholder management and communication
Data architecture and solution design
Technical leadership and team guidance
Azure, Databricks, Fabric, and Power BI expertise
Independent, AI-enabled working style
Strong ownership, governance, and delivery focus
Ideal Profile
70% Data Architect / Principal Data Engineer | 20% Delivery Lead | 10% Hands-on Engineering
This role is less about deep coding expertise and more about architecture, stakeholder engagement, delivery leadership, technical governance, and driving successful outcomes across enterprise data initiatives.
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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📌 Principal Data Architect (New South Wales)
🏢 LTM
📍 New South Wales