Data Platform Strategist

15 hours ago

Albury City Council, Australia beBeeDataEngineering Full time $190,000 - $210,000
About the Role

We are seeking an experienced Data Engineering Manager to lead our modern data platform. This role combines strategic leadership, platform architecture, and hands-on engineering to deliver a robust data foundation that supports high-impact business needs across analytics, machine learning, and operations.


The successful candidate will establish reliable ingestion and transformation frameworks to integrate internal and external data sources at scale. They will also evaluate, recommend, and implement a fit-for-purpose technology stack that balances performance, flexibility, and cost-efficiency.


This role requires strong proficiency in data engineering languages and frameworks, with ability to mentor engineers. The ideal candidate will have solid understanding of batch and streaming architectures and experience building reliable data ingestion pipelines across structured and semi-structured sources.


Key responsibilities include:

  • Designing and delivering a scalable data platform that meets analytical, operational, and machine learning needs of the business
  • Evaluating and implementing technology stacks that balance performance, flexibility, and cost-efficiency
  • Establishing reliable ingestion and transformation frameworks to integrate internal and external data sources at scale
  • Mentoring engineers on data engineering languages and frameworks
  • Building reliable data ingestion pipelines across structured and semi-structured sources

This is an exciting opportunity for a skilled professional to join our team and contribute to the success of our business. If you have a passion for data engineering and a proven track record of delivering results, we would love to hear from you.


Required Skills and Qualifications

To be successful in this role, you will need:

  • Experience designing and scaling modern data platforms in cloud environments (e.g., AWS, GCP, Azure)
  • Strong proficiency in data engineering languages and frameworks (e.g., SQL, Python, Spark)
  • Solid understanding of batch and streaming architectures and experience building reliable data ingestion pipelines across structured and semi-structured sources
  • Familiarity with data tooling ecosystems including data lakes, lakehouses, transformation frameworks (e.g., dbt), and orchestration systems
  • Knowledge of data governance, access control, and compliance fundamentals (e.g., GDPR, PCI DSS) in collaboration with Security and Cloud teams
  • Familiarity with DevOps workflows and CI/CD practices as they apply to data products, including integration with Cloud-managed infrastructure

Benefits

We offer a competitive salary range of $190,000 - $210,000 + Super + Benefits, as well as opportunities for career growth and professional development. We are committed to creating a safe and inclusive work environment that values diversity and promotes well-being.


Other Information

This is a remote-first role with opportunities for collaboration and teamwork. We value autonomy, transparency, and open communication, and encourage our team members to take ownership of their work and contribute to the success of the business.

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