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Data Platforms Manager
2 weeks ago
The role of Data Platform Engineering Manager entails leading a team responsible for designing, developing, and delivering an enterprise data platform and reusable data products. This position is critical in ensuring scalable, secure, and high-performing data capabilities that power insights, decision-making, automation, and future AI use cases.
This involves overseeing the end-to-end development lifecycle, from backlog planning through to tested and automated deployment, ensuring quality, reusability, and platform alignment. The team leads the engineering team building data pipelines, models, and reusable components using Snowflake and AWS-native tools (Glue, S3, Lambda). Additionally, they translate business and analytical requirements into well-designed data products aligned to domain needs and platform strategy.
The Data Platform Engineering Manager oversees scalable data models, semantic layers, and data marts to support insights and CX solutions. They embed strong solution design practices and partner with architects to ensure alignment with enterprise patterns. Furthermore, they manage and coach a multidisciplinary team including Data Engineers, Solution Designers, DevOps Engineers, and Data Test Engineers.
Key responsibilities include ensuring development standards, governance (naming, logging, lineage), and best practices are consistently applied. The Manager drives adoption of test-driven development, CI/CD, and automation across the team. They collaborate with Data Ops to ensure smooth deployment, observability, and post-release support.
Required Skills and Qualifications
- 7+ years in Data Engineering, including 3+ years in leadership or senior technical roles
- Proven experience leading Data Engineering or Data Platform teams in complex, cloud-native environments
- Demonstrated success delivering scalable data pipelines and reusable data products
- Experience implementing engineering standards, code reviews, and reusable frameworks
- Track record 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
Culture
Our organization values diversity and encourages people with different experiences and backgrounds to apply. We prioritize our employees' development so they can thrive.
About the Role
This position requires collaboration with cross-functional leads across Data Ops, Insights, CXM, and Governance to support the data strategy. The ideal candidate should have a proven track record of leading multidisciplinary technical teams across development lifecycles.
Able to lead and inspire a high-performing engineering team, fostering accountability, technical excellence, and continuous learning. Experience in Agile delivery environments, virtual squads, or service-aligned team models is desirable. Exposure to real-time data ingestion and event-driven architecture is also beneficial.
Benefits
Our organization offers opportunities for career growth and professional development. A talent pool may be created through this recruitment process, and we are committed to responding to every applicant.
Others
Please note that you must be an Australian citizen, permanent resident of Australia, New Zealand citizen with a current New Zealand passport, or have unrestricted working rights to apply for this role.
