Job Description

Data Engineering & AI Technical Lead

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We are seeking an experienced Data Engineering Technical Lead to play a key role in establishing and evolving our modern data platform capability. Working within an emerging Data & AI Enablement function, you will provide deep technical leadership across architecture, platform design, and engineering delivery. This is a hands-on technical leadership role suited to someone who enjoys defining technical direction while remaining close to the technology and implementation. You will help shape the organisation's data engineering strategy, establish best-practice patterns, and build scalable, secure, and reliable data solutions that support current business needs and future AI ambitions.

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What You'll Be

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- Define and drive the technical vision for data engineering across the organisation.
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- Lead architectural decisions that support scalability, reliability, security, and performance.
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- Establish engineering standards, patterns, and best practices for modern data platforms.
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- Provide technical leadership to engineers and stakeholders, influencing decisions across teams.
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Architecture & Platform Design

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- Design, implement, and evolve modern cloud-based data architectures.
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- Build data lakehouse solutions using industry-leading technologies and practices.
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- Develop and enhance Medallion architecture patterns for data ingestion, transformation, and consumption.
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- Design event-driven data ingestion frameworks and streaming architectures.
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- Contribute to enterprise architectural discussions and translate strategy into practical implementation.
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- Ensure platform observability, governance, security, and operational excellence are embedded by design.




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Hands-On Engineering

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- Build and optimise data pipelines using AWS-native services, Databricks, and modern orchestration frameworks.
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- Design and implement scalable batch and real-time data processing solutions.
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- Develop and manage event-driven data flows and streaming workloads using Kafka.
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- Work across the full data lifecycle, from ingestion and transformation through to modelling and consumption.
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Engineering Enablement & Mentorship

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- Mentor and guide data engineers on architecture, engineering practices, tooling, and delivery approaches.
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- Support the uplift of engineering capability and maturity across the organisation.
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- Promote a culture of quality, collaboration, continuous improvement, and technical excellence.
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Standards, Governance & Reliability

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- Establish standards for data quality, observability, lineage, modelling, and platform reliability.
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- Contribute to governance frameworks that support compliance, consistency, and trust in data.
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- Drive best practices for operational support, monitoring, and platform performance.
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About You

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You'll be a highly capable data engineering professional with a solid blend of technical leadership, architecture expertise, and hands-on delivery experience.

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Skills & Experience

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- Significant experience in Data Engineering, including experience operating as a Technical Lead or senior technical specialist.
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- Deep expertise across AWS cloud services and modern data engineering ecosystems.
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- Strong hands-on experience with Databricks and data lakehouse architectures.
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- Solid understanding and practical application of Medallion architecture principles.
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- Experience designing and implementing event-driven architectures and Kafka-based streaming solutions.
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- Proven ability to design and deliver modern, scalable data platforms from concept through to implementation.
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- Strong architectural thinking with the ability to balance strategic direction and practical execution.
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- Experience working in evolving or greenfield environments where processes and platforms are still being established.
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- Excellent stakeholder engagement, communication, and influencing skills.
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Why Join?

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- Help shape the technical foundations of a growing Data & AI capability.
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- Influence architecture and engineering strategy at an organisational level.
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- Work with modern cloud, data, and AI technologies.
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- Enjoy significant autonomy, ownership, and the opportunity to make a lasting impact.
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- Be part of a collaborative environment focused on innovation, learning, and continuous improvement.
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We are an inclusive employer committed to fostering a diverse and accessible workplace. We encourage applications from Aboriginal and Torres Strait Islander peoples, people with disabilities, LGBTQIA+ individuals, people of all ages, and those from culturally and linguistically diverse backgrounds.

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📌 Data & AI Technical Lead (Victoria)
🏢 Emanate Technology
📍 Victoria