Data Architect

3 days ago

North Sydney Council, Australia Nine Full time
Job Description

We are seeking a highly skilled Data Architect to join our Data Team at Nine, a leading media company in Australia. As a Data Architect, you will play a crucial role in building high-performing data products, reducing the complexity of our data landscape, and managing and strategically planning Nine's data architecture.

Key Responsibilities
  1. Design and Implement Data Models: Develop and implement consumption-focused dimensional data models within our petabyte-sized data platform, ensuring optimal performance and storage.
  2. Collaborate with Stakeholders: Work closely with business stakeholders, product managers, and data engineers to understand their needs and design systems that support data-driven decision-making.
  3. Develop Data Governance Policies: Design and support the implementation of policies for data usage, data storage, data security, and data governance.
  4. Promote Data Literacy: Encourage self-service and help drive data literacy across the organization.
  5. Define Data Governance Best Practices: Establish and promote data governance best practices to ensure data quality, consistency, and security.
  6. Stay Up-to-Date with Industry Trends: Provide data on industry trends, emerging technologies, and modeling techniques, and new tool sets.
  7. Conduct Data Analysis: Conduct data analysis and data profiling to discover data quality issues, data integration opportunities, and data enrichment opportunities.
  8. Mentor Data Engineers: Mentor data engineers on data modeling and data management.
  9. Stay Current with Industry Changes: Keep up to date with media and technology industry changes and stimulate discussion.
Requirements
  1. Experience as a Data Architect or Senior Data Engineer: At least 5 years of experience in a similar role with strong knowledge and application of data modeling techniques.
  2. Business Acumen: Ability to understand business goals and requirements and translate them into consumption-focused data models.
  3. Technical Skills: Practical SQL and Python experience, with experience in BigQuery or other major data warehousing tools like Snowflake or Redshift.
  4. Data Analytics and Reporting: Experience with data analytics and reporting tools like Tableau, Looker, or other major data visualization tools.
  5. Agile Development: Experience working in agile development and delivery processes.
  6. Solution Design: Experience in solution design, best practices, and implementation.
  7. Quality Focus: A commitment to quality in your work.
  8. Database Knowledge: Solid understanding of database structures, theories, principles, and practices.
  9. Commercial and Customer Focus: Strong commercial and customer focus, with a commitment to delivering outcomes for both.
  10. Interpersonal and Communication Skills: Strong interpersonal and communication skills.

We offer a dynamic working environment and collaborative team culture, with opportunities for individual growth and development. We support flexible work schedules and locations, and are committed to fostering a diverse and inclusive workplace.

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