Data Architect

1 week ago

Australia Ressam Full time
About the Role

We are seeking an experienced Data Architect to join our team at Ressam, a leading IT recruitment agency. As a Data Architect, you will play a key role in designing and implementing data architecture solutions that support our clients' business needs.

Key Responsibilities
  • Provide expert advice on data architecture and management best practices for implementation within our clients' organizations.
  • Design business intelligence strategies and reports in response to evolving business needs.
  • Engage with stakeholders across the business to develop the vision for the department's use of data.
  • Analyse data-related business needs with business analysts and technology teams by providing advice on data warehousing methods and approaches.
  • Provide assurance over data solutions and make recommendations to ensure compliance with relevant policies, strategies, and industry best practices.
  • Analyse, plan, and define data architecture framework, including security, reference data, metadata, and master data.
  • Work with our clients' enterprise architects to develop and modify enterprise architecture, providing consultancy and advice to stakeholders when gathering business requirements to provide input into systems replacement and future solution projects.
  • Work collaboratively to redesign and establish data governance processes, tools, and artefacts which align with our clients' enterprise architecture.
  • Provide expertise in the development and maintenance of big data platforms including Data Visualisation products.
  • Lead the overall technical solution design of big data platforms to support business capabilities.
  • Provide expertise in designing services for data quality including cleansing, standardisation, enrichment, and matching.
  • Provide technical expertise in configuring systems for high availability, automated failover, and disaster recovery.
  • Integrate industry-tested methodologies for optimising and streamlining data processing best practices.
  • Create and update various documentation such as: Technical specifications, technical designs and matrices, Architectural documents, System design specifications, Workflows, events, and sequence diagrams, UML (Universal Mark-Up Language) charts.
  • Support our clients' Section Directors with advice and expertise in relation to the data platforms to support the system owners and applications to develop the SA's data strategy and roadmap.
Requirements
  • Extensive leadership experience in establishing data architecture, including data lakes, data warehouses and related infrastructure, by aligning relevant architecture(s) and broader business operations and strategic goals.
  • Strong understanding of data governance principles and practices.
  • Demonstrated stakeholder engagement and collaboration experience, particularly with senior executives and leaders.
  • Experience in data modelling and database design.
  • Demonstrated ability to stay current with and use emerging data technologies, including artificial intelligence.
  • Excellent leadership, engagement, and communication skills.
  • Knowledge of IT Security principles and practices.
  • The data architect is either experienced or conversant in emerging tools like columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.
  • The candidate will require the following capabilities to work effectively in the role: Data Governance, Database Modelling and Design in relation to analytical and reporting systems, Data Management, Research and Analysis, Conceptual Skills, Technical Writing, Communicates with Influence, Advanced Project Management.
  • The candidate must also be familiar with the following concepts and display experience in a Lakehouse Architecture or similar model: Data Ingestion, Data Fabric, Data Mining, Data Transformation, Data Mart, Data Streaming, Data Warehousing.
  • The candidate will excel in high tempo work environments and will be able to balance several key priorities simultaneously while ensuring the highest levels of quality in the work being delivered on time.
Primary Technologies
  • Cloudera, Teradata, Apache, SAS, Mainframe, Qlik, SAP (HANA), DB2, Tableau, Power BI, Informatica.

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