Senior Data Architect

7 days ago

Melbourne, Victoria, Australia beBeeDataEngineer Full time $112,858 - $145,583
Job Overview

Key Responsibilities:

  • Develop scalable data architectures to support business intelligence, advanced analytics, and self-service reporting.
  • Design and build enterprise data warehouses and large-scale data processing systems that deliver business insights.
  • Collaborate with stakeholders to implement modern data engineering practices that streamline data movement, transformation, and lifecycle management.

Job Requirements:

  • Implement and maintain data pipelines for ingestion, transformation, and modelling to ensure data accuracy and quality.
  • Work collaboratively with analysts, architects, and business stakeholders to deliver tailored data solutions.
  • Establish standard practices for consistent and efficient data management.
  • Provide reliable estimates and technical delivery for data-related projects.
  • Troubleshoot and resolve data-related issues in a timely manner.
  • Optimize data pipelines for performance, scalability, and reliability.
  • Support continuous integration and deployment processes for deploying data pipelines and infrastructure.
What We're Looking For:

We seek a technically skilled professional with a passion for data engineering and cloud technologies. The ideal candidate will bring hands-on experience in modern data platforms and a collaborative mindset to drive innovation.

  • Bachelor's degree in Computer Science, Engineering, IT, or Mathematics.
  • Cloud certification (e.g., AWS Certified Solutions Architect Associate).
  • At least 3 years of experience in data transformation projects using modern cloud engineering practices.
  • Experience with cloud platforms (e.g., AWS), data warehousing tools (e.g., Snowflake), and CI/CD pipelines.
  • Familiarity with multi-cloud environments and open-source technologies.
  • Strong communication and problem-solving skills.
  • Ability to design, build, and maintain scalable data pipelines and warehouses.
  • Excellent analytical and troubleshooting capabilities.
  • Collaborative team player with a customer service orientation.
  • Ability to work towards common goals in an inclusive and open manner.
  • High attention to detail and commitment to data quality.

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