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Data Architecture Specialist

2 months ago

Parramatta, New South Wales, Australia Michael Page Full time
About Michael Page

A dynamic and forward-thinking public sector organization dedicated to creating an advanced technological framework.

Position Overview
  • Spearhead the formulation and execution of data architecture methodologies, strategies, and solutions to optimize data governance and utilization.
  • Assess current data infrastructures and recommend improvements to enhance scalability, efficiency, and dependability.
  • Establish and uphold data standards, protocols, and best practices for data integration, storage, and utilization within the organization.
  • Collaborate closely with IT departments, analysts, and other stakeholders to seamlessly integrate new data solutions with existing systems and applications.
  • Design and maintain data models, schemas, and dictionaries to support effective data management and governance.
  • Perform data analysis and profiling to uncover patterns, trends, and insights that guide decision-making and operational strategies.
  • Partner with security teams to ensure data confidentiality, integrity, and compliance with relevant regulations (e.g., GDPR, data protection laws).
  • Offer technical guidance and mentorship to junior team members and data engineers.
  • Keep abreast of emerging technologies and industry trends in data management, analytics, and architecture.
Ideal Candidate Profile
  • Bachelor's degree in Computer Science, Information Systems, or a related discipline.
  • Demonstrated experience (5+ years) as a Data Architect, Data Engineer, or a comparable role, ideally within a large-scale enterprise or public sector environment.
  • Comprehensive understanding of database management systems (SQL and NoSQL), data warehousing, ETL processes, and data integration methodologies, with expertise in Big Data technologies such as Hadoop, Spark, or Kafka.
  • Proficient in data modeling tools (e.g., ERWin, ER/Studio) and familiar with cloud-based data solutions (AWS, Azure, Google Cloud).
  • Strong analytical and problem-solving capabilities with the ability to convert complex business needs into technical solutions.
  • Exceptional communication and interpersonal skills, enabling effective collaboration across teams and the ability to convey technical concepts to non-technical stakeholders.
  • Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Solutions Architect) are advantageous.