AI-Driven Data Architect & Platform Leader

LTM

Sydney

On-site

AUD 180,000 - 280,000

Full time

2 days ago
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Job summary

LTM is seeking an experienced Data Architect / Principal Data Engineer based in Sydney to operate as the technical second-in-command to the Data Engineering Lead. You will own delivery, architecture, stakeholder engagement, and technical leadership, while people management sits with the leadership team.

Responsibilities include leading end-to-end data initiatives, architecting enterprise platforms, and guiding teams across Databricks Lakehouse, Fabric, Synapse, and Power BI ecosystems, with a

Qualifications

  • Experience with end-to-end data initiatives and data platforms.
  • Proven ability to translate business needs into scalable data solutions.
  • Strong knowledge of data warehousing, lakehouse architectures, modeling, and governance.
  • Experience guiding architecture reviews and migration planning.

Responsibilities

  • Lead end-to-end data initiatives from requirements gathering to implementation and validation.
  • Coordinate and provide technical direction to a small team of data engineers.
  • Manage multiple projects, remove blockers, and accelerate delivery.
  • Provide architectural leadership ensuring alignment with security, governance, and business needs.
  • Lead architecture reviews, migration planning, and solution assurance activities.

Skills

Data leadership
Stakeholder mgmt
Data architecture
Azure
Databricks
Fabric
Power BI
Synapse
APIs & pipelines
CI/CD
AI-enabled

Tools

Databricks Lakehouse
Microsoft Fabric
Dynamics 365 Finance & Ops
Unity Catalog
Hybris
Synapse Analytics
APIs
CI/CD tooling

Job description

LTM is seeking an experienced Data Architect / Principal Data Engineer based in Sydney to operate as the technical second-in-command to the Data Engineering Lead. You will own delivery, architecture, stakeholder engagement, and technical leadership, while people management sits with the leadership team.

Responsibilities include leading end-to-end data initiatives, architecting enterprise platforms, and guiding teams across Databricks Lakehouse, Fabric, Synapse, and Power BI ecosystems, with a

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