Senior Data Architect

13 hours ago

Parramatta Park, Queensland, Australia beBeeDataModeller Full time $150,000 - $170,000
Job Description

We are seeking a skilled professional to lead the development of project data models that align with the enterprise information model. The ideal candidate will have strong experience in conceptual, logical and physical data modelling techniques.

The role involves designing and developing data models that meet business needs, working closely with stakeholders to understand requirements and deliver high-quality solutions.

Key Responsibilities
  • Develop conceptual, logical and physical data models to support business intelligence and analytics initiatives.
  • Collaborate with cross-functional teams to design and implement data governance frameworks and processes.
  • Apply industry-standard data modelling techniques and tools to deliver accurate and reliable data models.
  • Stay up-to-date with industry trends and best practices in data modelling, and apply this knowledge to improve data quality and consistency.
Required Skills and Qualifications
  • Strong experience in data modelling, including conceptual, logical and physical data modelling techniques.
  • Knowledge of industry-standard data modelling tools and software, such as Erwin.
  • Excellent communication and collaboration skills, with the ability to work effectively with stakeholders at all levels.
  • Ability to stay organized and manage multiple projects simultaneously.
Benefits

As a Senior Data Modeller, you will be part of a dynamic team that values innovation, collaboration and continuous learning. You will have the opportunity to develop your skills and expertise, and contribute to the delivery of high-quality data models that support business objectives.

In addition to competitive compensation and benefits, we offer a range of perks and programs designed to support your well-being and career development, including opportunities for professional growth and recognition.

Others

The ideal candidate will have a strong understanding of data governance principles and practices, and be able to apply this knowledge to design and implement effective data governance frameworks and processes.

They will also have excellent problem-solving skills, with the ability to analyze complex data models and identify opportunities for improvement.

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