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Lead Data Architect and Data Engineer

2 months ago

Sydney, New South Wales, Australia The Recruitment Company Australia Full time
Job Opportunity at The Recruitment Company Australia

Fantastic opportunity for a Senior Data Architect & Engineer to join our global finance client who are embarking on a transformative enablement project.

You will play a lead role in a new team and will be collaborating with senior leaders to drive innovation and growth.

This role requires a self-starter who is passionate about data-driven initiatives and has a strong background in data engineering practices.

You will play a pivotal role in modernizing data engineering practices by implementing advanced, contemporary data infrastructure to enable strategic initiatives.

Key Responsibilities:

  • Design and develop enterprise-grade data ingestion pathways, data pipelines, and abstraction layers.
  • Collaborate with senior leaders to drive innovation and growth in data engineering practices.
  • Develop and maintain data catalogues and ensure data management best practices.
  • Ensure compliance with data privacy regulations (GDPR, CCPA) and secure coding practices.
  • Develop and implement data pipeline management, database structures, and data abstraction layers.
  • Drive the design, development, and maintenance of data infrastructure to support business growth.
  • Ensure data security, risk, and cyber security best practices are followed.
  • Develop and maintain strong relationships with stakeholders to ensure data-driven decision making.
  • Stay up-to-date with industry trends and emerging technologies in data engineering.

Requirements:

  • 2 years of experience in a Senior/Lead Data Architect role.
  • Finance experience is highly desirable.
  • Familiarity with data privacy regulations (GDPR, CCPA) and secure coding practices.
  • Experience in data management & building data catalogues.
  • Specialized knowledge of data pipeline management, database structures, and data abstraction layers.
  • Solid experience in orchestrating the design, development, and maintenance of enterprise-grade data ingestion pathways, data pipelines, and abstraction layers.
  • Well-versed in privacy, risk, and cyber security.
  • Exceptional communication skills, both written and verbal, with the ability to consult and influence.
  • Proficiency in programming languages such as Python, PyTorch, Java, or Scala.
  • Experience with AI frameworks and libraries such as TensorFlow, Keras, scikit-learn, etc., for machine learning and deep learning.