Job Description
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.
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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.
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The Role
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Key Responsibilities
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Technical Leadership & Design
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Provide technical leadership across the Databricks components supporting the Generative AI and MCU Phase 2 initiatives.
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Develop detailed and low-level technical designs for Databricks-based data platform solutions.
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Translate business and technical requirements into scalable, secure and maintainable technical solutions.
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Provide technical guidance to developers and delivery teams throughout the implementation lifecycle.
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Review technical designs and ensure solutions align with enterprise architecture and engineering standards.
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Databricks & Data Engineering
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Design and develop data platform components using Databricks, Apache Spark and Python.
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Support the implementation and optimisation of Databricks workloads across the data platform.
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Contribute hands‐on to coding, development and technical problem‐solving where required.
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Ensure solutions are designed for scalability, performance, reliability and maintainability.
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Troubleshoot technical issues and provide guidance on complex data engineering challenges.
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Generative AI & MCU Initiatives
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Support the technical delivery of data platform capabilities required for the Generative AI and MCU Phase 2 programs.
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Work closely with architecture, data engineering and project teams to ensure Databricks solutions meet program requirements.
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Contribute to technical decision‐making and identify opportunities to improve the data platform and delivery approach.
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Stakeholder Engagement
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Work collaboratively with architects, engineers, developers and project stakeholders.
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Communicate complex technical concepts clearly to both technical and non‐technical audiences.
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Provide clear technical updates, identify risks and dependencies, and contribute to solution discussions.
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Support knowledge sharing and provide technical guidance across the broader delivery team.
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Skills & Experience
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Essential
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Proven experience working as a Technical Lead, Lead Data Engineer or Senior Data Engineer within a complex enterprise environment.
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Strong hands‐on experience with the Databricks platform.
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Strong coding experience with Apache Spark and Python.
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Demonstrated experience creating low-level technical designs.
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Strong understanding of data engineering and modern data platform architectures.
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Ability to translate requirements into practical, scalable technical solutions.
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Strong problem‐solving and analytical skills.
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Excellent communication and stakeholder engagement skills.
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Ability to provide technical leadership while remaining hands‐on with development and implementation.
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Desirable
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Experience supporting Generative AI or AI‐related data platform initiatives.
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Experience working within large-scale enterprise data transformation programs.
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Experience with cloud-based data platforms.
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Knowledge of contemporary data lakehouse architectures and associated data engineering patterns.
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Experience working within Agile delivery environments.
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📌 Techical Lead Databricks (Queensland)
🏢 Techforce Personnel
📍 Queensland