Data Systems Architect

1 week ago

Sydney, New South Wales, Australia beBeeDataEngineering Full time $120,000 - $140,000

Data Engineering Specialist Opportunity

As a Data Engineering Specialist, you will play a pivotal role in designing and building efficient data models that cater to diverse analytical and processing requirements.

Key Responsibilities:

  • Create scalable, reliable, and high-performance data systems that adapt to schema drift, late-arriving data, or inconsistent input formats.
  • Design storage and compute strategies that balance cost, performance, and compliance, integrating cloud-native data solutions with legacy systems.
  • Establish standards and automated processes to ensure data maintains accuracy, completeness, and consistency throughout its lifecycle.
  • Implement multi-layered security measures including encryption, access controls, and continuous monitoring to protect sensitive data.
  • Apply infrastructure as code principles and tools like Terraform to manage cloud resources programmatically, ensuring reproducible deployments and consistent environments.
  • Collaborate with cross-functional teams to develop and maintain data pipelines, reports, and dashboards that drive business insights.

Qualifications:

  • Bachelor's degree in computer science, information technology, or a related field.
  • 5+ years of experience in data engineering, with a strong focus on data modelling, aggregation, and business intelligence.
  • Proven ability to design and build efficient data models within a data warehouse environment.
  • Strong understanding of data warehousing principles and dimensional modelling.
  • Expert-level SQL skills for complex data manipulation, querying, and aggregation.
  • Excellent communication skills to translate business needs into technical data solutions.
  • A proactive, detail-oriented mindset with a focus on data accuracy and integrity.

Nice-to-Haves:

  • Experience with next-generation architectures such as Vector Databases and RAG.
  • Expertise in building and maintaining reports and dashboards with Tableau.
  • Experience with data loading, transformation, and performance optimization in a modern environment such as Snowflake.

About the Role:

This is a hands-on role where you will play both architect and operator, designing systems that can handle diverse data types while ensuring reliability and performance at scale.

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