Client is seeking an experienced Technical Lead - Databricks to support the detailed design, technical delivery and implementation of data platform components required for the Generative AI and MCU Phase 2 initiatives.
The Technical Lead will be responsible for developing detailed and low-level technical designs across the Databricks platform, providing technical guidance and support to delivery teams, and contributing hands‐on to the development of data platform components.
This is a hands‐on technical leadership role suited to someone with strong Databricks, Apache Spark and Python experience who can translate high-level requirements into robust, scalable technical designs and work effectively with both technical and business stakeholders.
The Role
Key Responsibilities
Technical Leadership & Design
Provide technical leadership across the Databricks components supporting the Generative AI and MCU Phase 2 initiatives.
Develop detailed andlow-level technical designsfor Databricks-based data platform solutions.
Translate business and technical requirements into scalable, secure and maintainable technical solutions.
Provide technical guidance to developers and delivery teams throughout the implementation lifecycle.
Review technical designs and ensure solutions align with enterprise architecture and engineering standards.
Databricks & Data Engineering
Design and develop data platform components usingDatabricks, Apache Spark and Python.
Support the implementation and optimisation of Databricks workloads across the data platform.
Contribute hands‐on to coding, development and technical problem‐solving where required.
Ensure solutions are designed for scalability, performance, reliability and maintainability.
Troubleshoot technical issues and provide guidance on complex data engineering challenges.
Generative AI & MCU Initiatives




Support the technical delivery of data platform capabilities required for the Generative AI and MCU Phase 2 programs.
Work closely with architecture, data engineering and project teams to ensure Databricks solutions meet program requirements.
Contribute to technical decision‐making and identify opportunities to improve the data platform and delivery approach.
Stakeholder Engagement
Work collaboratively with architects, engineers, developers and project stakeholders.
Communicate complex technical concepts clearly to both technical and non‐technical audiences.
Provide clear technical updates, identify risks and dependencies, and contribute to solution discussions.
Support knowledge sharing and provide technical guidance across the broader delivery team.
Skills & Experience
Essential
Proven experience working as a Technical Lead, Lead Data Engineer or Senior Data Engineer within a complex enterprise environment.
Solid hands‐on experience with theDatabricks platform.
Strong coding experience withApache Spark and Python.
Demonstrated experience creatinglow-level technical designs.
Strong understanding of data engineering and modern data platform architectures.
Ability to translate requirements into practical, scalable technical solutions.
Solid problem‐solving and analytical skills.
Excellent communication and stakeholder engagement skills.
Ability to provide technical leadership while remaining hands‐on with development and implementation.
Desirable
Experience supportingGenerative AIor AI‐related data platform initiatives.
Experience working within large-scale enterprise data transformation programs.
Experience with cloud-based data platforms.
Knowledge of modern data lakehouse architectures and associated data engineering patterns.
Experience working within Agile delivery environments.
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📌 Techical Lead Databricks (Queensland)
🏢 Techforce Personnel
📍 Queensland