Data Architect Leader

4 days ago


Melbourne, Victoria, Australia Talent Full time

Company Overview:

Talent is a leading recruitment agency that connects top talent with innovative businesses. We're dedicated to finding the best fit for our clients and candidates.

Job Description:

We're seeking a highly skilled Data Architect to lead our data strategy, governance, and enhance data quality in a collaborative environment. As a key member of our team, you'll work closely with various stakeholders to develop and manage our data strategy, ensuring high-quality data management and usage.

  • Collaborate with teams to develop and manage data strategy, ensuring high-quality data management and usage.
  • Offer strategic advice on data initiatives, recommend new technologies, and guide their implementation.
  • Work with business stakeholders to understand their data needs and provide technical solutions in partnership with our Data Analytics, Development, and Security teams.
  • Set data quality standards and establish processes to monitor and cleanse data, ensuring excellence in our data practices.

Key Responsibilities:

  • Designing and updating data architecture and models.
  • Creating and executing a data strategy and roadmap.
  • Developing data governance policies.
  • Identifying and advocating for data solution opportunities.
  • Leading the selection and implementation of data products.
  • Enhancing data quality and integrity.
  • Communicating technical details to both business and technical teams.
  • Collaborating with the security team to safeguard our systems.
  • Keeping up-to-date with data trends and technologies.

Requirements:

  • At least 5 years in a Data Architect role or similar, with a focus on data governance.
  • A degree in computer science, engineering, or a related field.
  • The ability to work well under pressure and independently.
  • A collaborative spirit and excellent communication skills.
  • Experience with enterprise data in a large company.
  • Knowledge of Microsoft SQL, SSRS, SSIS, Power BI, and Azure Cloud Data.
  • Familiarity with MS-SQL, Oracle, and DB2 databases.
  • Background in the finance or insurance industry.

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