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Data Architect

2 months ago

Melbourne, Victoria, Australia Worldline Full time
The Opportunity

We are seeking a highly skilled and experienced Data Architect to join our Analytics & Business Intelligence (ABI) team. As a key member of our team, you will be responsible for designing, developing, and implementing end-to-end data solutions that meet our organization's needs. You will work closely with cross-functional teams to understand business requirements and translate them into scalable, efficient, and maintainable data architectures.

As a Data Architect, you will be involved in hands-on engineering tasks, including data modelling, ETL development, and data pipeline orchestration. You will also be responsible for evaluating and recommending new technologies and tools to improve data architecture and engineering practices.

Key Responsibilities
  • Design, develop, and implement scalable data architectures that support business needs.
  • Collaborate with cross-functional teams to understand and translate business requirements into technical solutions.
  • Develop and maintain reusable metadata-driven data pipelines for ETL processes, data integration, and data transformation.
  • Perform data modelling (dimensional and tabular), database design, and optimization to ensure data quality and performance.
  • Evaluate and recommend new technologies and tools to improve data architecture and engineering practices.
  • Establish and maintain trusted relationships with key stakeholders across the organization and global business units.
  • Develop and own the Data Governance Framework and ensure that it is effectively deployed across the data environment.
  • Develop and own the Data Quality Framework and ensure that it is effectively deployed across the data environment.
  • Provide technical leadership and mentorship to junior team members.
  • Keep abreast of industry good practices and trends, including tools and processes, in so far as it relates to data architecture, data engineering, data science, and data analysis.
  • Develop and maintain a comprehensive understanding of the payments industry and ANZ Worldline business, systems, services, and products.
  • Work closely with the ABI Delivery Manager to ensure all stakeholder requirements are delivered in a timely manner, including project, ad-hoc, and business-as-usual activities.
Requirements
  • 10+ years within a payments or technology-driven organization.
  • 10+ years developing datalake, data warehousing, and lakehouse solutions.
  • Experience with DataOps, Agile, or DevOps delivery, quality practices, techniques, and tools.
  • Extensive experience with data loading patterns and managing large-scale datasets.
  • In-depth experience in data management strategies and data lifecycle design and implementation.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).
  • Experience in Databricks machine learning environment and MLOps design and implementation.
  • Preferably experience in a merchant acquiring or adjacent payments organization.
Competencies & Knowledge
  • Excellent database, ETL, and data warehousing skills.
  • Exceptional programming skills, including Python and SQL.
  • A high standard of knowledge and skills in existing and emerging data solutions and tools, including Azure, Databricks, Fabric, and Power BI.
  • Excellent analytical and problem-solving skills.
  • Outstanding quality assurance skills.
  • Exceptional planning and organizational skills, plus commercial awareness and industry knowledge.
  • Proficiency in Pyspark and/or Scala.
  • Advanced knowledge of Office products, including PowerPoint and Excel.
  • Results-driven and ability to work under pressure.
  • Flexible mindset with the ability to multi-task and work in an international environment.
Education

Bachelor's Degree (Business Analytics, Computer Science, Statistics, Mathematics, or similar)