Data Architect

4 weeks ago

Canberra, ACT, Australia NXTGIG Full time

NXTGIG Canberra, Australian Capital Territory, Australia

Data Architect

NXT GIG is looking for an experienced Data Architect to join our dynamic team and lead the design of our data architecture strategies. In this role, you will be responsible for defining and implementing data models, databases, and data storage solutions that meet both business and technical requirements. You will work closely with data engineers, analysts, and other stakeholders to ensure that data flows seamlessly throughout the organization, while maintaining data integrity and security. The ideal candidate will have a comprehensive understanding of data management practices and the ability to work with large-scale datasets. If you are passionate about data architecture and want to shape the future of data solutions at NXT GIG, we encourage you to apply.

Responsibilities
  • Design and implement scalable and efficient data architecture strategies to support analytics and data management initiatives
  • Develop data models and maintain metadata to ensure consistent and accessible data across the organization
  • Collaborate with IT and business teams to understand data requirements and facilitate data integration efforts
  • Evaluate and recommend data storage technologies, tools, and platforms to enhance data processing capabilities
  • Ensure data governance and data quality by establishing best practices and standards for data management
  • Support data-related projects and initiatives by providing architectural guidance and expertise
  • Stay abreast of emerging trends and technologies in data architecture and management
Requirements
  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field
  • Proven experience as a Data Architect or in a similar role, focusing on data architecture and management
  • Strong understanding of database technologies (SQL and NoSQL), data modeling, and ETL processes
  • Familiarity with data warehousing solutions and big data technologies
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing
  • Excellent analytical and problem-solving skills
  • Strong communication skills to collaborate with technical and non-technical stakeholders
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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