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Data Architect

Sydney CBD Temporary View Job Description
Preferred Qualifications:Experience with big data technologies (e.g., Hadoop, Spark).Familiarity with machine learning or AI applications in education data.Master's degree in Computer Science, Data Science, Information Technology, or related field.
  • Career Growth Opportunity
  • Hybrid/Flexible Work Schedule

About Our Client

  • Design & Develop Data Architecture:
    • Architect and implement scalable, high-performance data models and solutions to support educational data needs.
    • Create and maintain data models (relational, NoSQL, and data warehousing solutions) for student, academic, financial, and operational data.
  • Data Integration & ETL:
    • Design and build efficient ETL pipelines to integrate data from multiple sources, including student information systems, learning management systems, and external data providers.
    • Manage data flow and ensure timely, accurate data processing.
  • Data Governance & Security:
    • Establish and enforce data governance policies to ensure data quality, consistency, and compliance with regulations (e.g., FERPA).
    • Implement data security practices, including encryption, access controls, and compliance with data privacy laws.
  • Cloud & On-Premises Solutions:
    • Implement and manage cloud-based data platforms (e.g., AWS, Azure, GCP) for scalable data storage and analytics.
    • Design data architectures to support both on-premises and cloud environments.
  • Collaboration & Support:
    • Work with faculty, administrators, and IT teams to understand data requirements and translate them into actionable architectural solutions.
    • Support the development of reporting, BI, and analytics tools to inform strategic decisions at all levels of the organisation.
  • Continuous Improvement:
    • Stay current on industry trends, tools, and best practices in data architecture and education technology.
    • Provide recommendations for optimising data processes and improving data-driven decision-making.

Job Description

  • Design & Develop Data Architecture:
    • Architect and implement scalable, high-performance data models and solutions to support educational data needs.
    • Create and maintain data models (relational, NoSQL, and data warehousing solutions) for student, academic, financial, and operational data.
  • Data Integration & ETL:
    • Design and build efficient ETL pipelines to integrate data from multiple sources, including student information systems, learning management systems, and external data providers.
    • Manage data flow and ensure timely, accurate data processing.
  • Data Governance & Security:
    • Establish and enforce data governance policies to ensure data quality, consistency, and compliance with regulations (e.g., FERPA).
    • Implement data security practices, including encryption, access controls, and compliance with data privacy laws.
  • Cloud & On-Premises Solutions:
    • Implement and manage cloud-based data platforms (e.g., AWS, Azure, GCP) for scalable data storage and analytics.
    • Design data architectures to support both on-premises and cloud environments.
  • Collaboration & Support:
    • Work with faculty, administrators, and IT teams to understand data requirements and translate them into actionable architectural solutions.
    • Support the development of reporting, BI, and analytics tools to inform strategic decisions at all levels of the organisation.
  • Continuous Improvement:
    • Stay current on industry trends, tools, and best practices in data architecture and education technology.
    • Provide recommendations for optimising data processes and improving data-driven decision-making.

The Successful Applicant

  • Proven experience as a Data Architect, Data Engineer, or similar role.
  • Strong knowledge of data modeling, ETL processes, and database management (SQL, NoSQL).
  • Experience with data warehousing and BI tools (e.g., Tableau, Power BI).
  • Expertise in cloud data platforms (e.g., AWS, Azure, Google Cloud).
  • Familiarity with education data systems (e.g., Student Information Systems, Learning Management Systems).
  • Strong knowledge of data security practices, privacy regulations (e.g., FERPA), and data governance.
  • Excellent problem-solving, communication, and collaboration skills.

What's on Offer

This is a great opportunity for an experienced Data Architect candidate to take the next step in their career with a growing, innovative organisation and work with cutting-edge technology with an established Data team in the Sydney, Australia market.

Contact
Ben Patten
Quote job ref
JN-032025-6690711
Phone number

Job summary

Function
Information Technology
Specialisation
Data Warehousing
What is your industry?
Public Sector
Location
Sydney CBD
Job Type
Temporary
Consultant name
Ben Patten
Consultant phone
Job Reference
JN-032025-6690711

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know. PageGroup acknowledge and pay our respects to the Traditional Custodians of the land we operate on.