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Data Architect

Delivery Centric Technologies

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Location:
Australia, Sydney

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Delivery Centric is seeking a highly skilled Data Architect to design cloud-ready data architectures, engineer scalable data platforms, and drive governance excellence across enterprise environments. This role focuses on building robust data models, enabling seamless integrations, and optimizing data pipelines for speed, security, and business value. You will collaborate closely with business stakeholders, analysts, and engineering teams to define data strategies, modernize legacy systems, and deliver high-performing cloud and big data solutions. This opportunity suits a senior professional who thrives at the intersection of architecture, governance, and advanced analytics enablement.

Job Responsibility:

  • Design scalable, secure, and high-performing data architectures aligned to business objectives
  • Develop conceptual, logical, and physical data models for enterprise data platforms
  • Drive data governance practices, ensuring compliance, quality, and security across all data assets
  • Lead integration initiatives and build reliable data pipelines across cloud and on-prem ecosystems
  • Optimize existing data platforms, improving performance, scalability, and operational efficiency
  • Collaborate with business stakeholders to translate requirements into technical solutions
  • Maintain architecture documentation, standards, data dictionaries, and solution diagrams
  • Support big data, analytics, and AI/ML initiatives through scalable data foundations

Requirements:

  • Proven experience in data architecture, data modelling, and enterprise data platform design
  • Strong expertise in SQL, NoSQL, data warehousing, and major cloud platforms (Azure, AWS, GCP)
  • Hands-on experience with ETL/ELT tooling and big data technologies (Spark, Hadoop)
  • Experience building data pipelines and event-driven workflows
  • Certifications ideal for this role: Azure Data Engineer, AWS Developer, Databricks Data Engineer
  • Exposure to AI/ML environments and advanced analytical use cases
  • Strong analytical and problem-solving capabilities with excellent stakeholder engagement skills

Additional Information:

Job Posted:
December 08, 2025

Employment Type:
Fulltime
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