Manager Data Platform Engineering

**Sydney CBD**
- 7+ yrs in Data Engineering, with 3+ years in leadership/senior technical role
- Hands-on with Snowflake and AWS-native tools (e.g. Glue, S3, Lambda).
- Permanent Role| Hybrid working| salary of $ 197,005 all inclusive (Negotiable)

**About the Role**

The Data Platform Engineering Manager leads the team responsible for designing, developing, and delivering icare’s enterprise data platform and reusable data products. This role is critical to ensuring scalable, secure, and high-performing data capabilities that power insights decision-making, automation, and future AI use cases.

You will oversee the end-to-end development lifecycle - from backlog planning through to tested and automated deployment - while ensuring quality, reusability, and platform alignment. This role also plays a key leadership function in working across teams to shape solutions that enable strategic outcomes for icare.

**Benefits**
- A corporate wellbeing program with subsidised gym membership, free flu vaccinations and health check programs
- Comprehensive learning and development support aligned to icare’s Core Capabilities.
- Our People Awards - On-the-spot Recognition, Quarterly Values Awards & Our People Annual Awards
- Access to our Employee Assistance Program

**Duties**

It’s an exciting time at icare where no two days are the same; as a **Manager, Data Platform Engineering** you will:

- Lead the engineering team responsible for building data pipelines, models, and reusable components using Snowflake and AWS-native tools (e.g. Glue, S3, Lambda).
- Lead the development of modern data platform including analytical feature store, API wrapped data services and enabling embedment of operational analytics into core platforms
- Translate business and analytical requirements into well-designed data products, aligned to domain needs and platform strategy.
- Oversee the design and delivery of scalable data models, semantic layers, and data marts to support insights and CX solutions.
- Embed strong solution design practices and partner with architects to ensure alignment with enterprise patterns.
- Manage and coach a multidisciplinary team including Data Engineers, Solution Designers, DevOps Engineers, and Data Test Engineers.
- Ensure development standards, best practices, and governance (e.g. naming, logging, lineage) are consistently applied.
- Drive adoption of test-driven development, CI/CD, and automation practices across the team.
- Collaborate with Data Ops to ensure smooth deployment, observability, and post-release support.
- Partner with Performance Monitoring & Insights and CXM Ops teams to ensure platform capabilities meet real-world reporting and customer intelligence needs.
- Continuously improve engineering maturity, velocity, and reusability of data products across service lines.
- Contribute to GenAI and Agentic AI readiness by building modern, AI-enabled data foundations.

**Team Leadership**
- Inspire and lead a high-performing engineering team, fostering a culture of accountability, technical excellence, and continuous learning.
- Collaborate with cross-functional leads across Data Ops, Insights, and CXM, and Governance to support icare’s data strategy.
- Support Agile ways of working and contribute to the design of an evolving, service-aligned operating model.

**Skills & Experience**
- 7+ years in Data Engineering, including 3+ years in leadership or senior technical role
- Proven experience leading Data Engineering or Data Platform teams in complex, cloud-native environments
- Demonstrated success in delivering scalable data pipelines and reusable data products
- Experience implementing engineering standards, code reviews, and reusable frameworks
- Track record of enabling insights, CX, or AI teams through platform engineering
- Strong technical knowledge of modern data platforms (Snowflake, AWS)
- Deep understanding of data pipeline design, ELT/ETL patterns, and data modelling principles
- Proficiency in CI/CD, testing frameworks, and deployment automation
- Ability to lead multidisciplinary technical teams across development lifecycles
- Excellent stakeholder communication and collaboration skills
- Experience setting standards and best practices for engineering teams
- Experience in Agile delivery environments, virtual squads, or service-aligned team models
- Exposure to real-time data ingestion and event-driven architecture
- Contribution to GenAI or advanced analytics-enabling platforms
- Familiarity with data mesh or federated data product design
- Knowledge of data governance, metadata, and lineage practices
- Understanding of public sector or regulated industry environments

**Culture**

We know our strength comes from the diversity of our people and would encourage people with different experiences and backgrounds to apply. We are committed to our people’s development so the people of NSW can thrive.

**About the Company**

Our purpose is to care for the people of New South Wales, building