Enterprise Data Architect

2 weeks ago

Sydney, New South Wales, Australia Infosys Singapore & Australia Full time

Job Title: Enterprise Data Architect

Job Summary:

The Enterprise Data Architect will play a key role in setting the strategy for the organization's data architecture and providing technical architecture direction for delivery of the target state. This individual will be an integral member of the Enterprise Architecture Team and will be responsible for the design and implementation of the enterprise-wide data strategy, ensuring the strategy supports the current and future business needs.

Main Responsibilities:

  • Documenting the detailed holistic physical data architecture for both current and target state
  • Capturing the physical enterprise data model, working with the Data Management Office to align to the conceptual and logical models
  • Setting the strategy for data architecture to support the Business and IT strategies and maintaining the data architecture principles
  • Creating the data architecture documents and templates for change initiatives and supporting solution architects to complete
  • Lead data architecture governance forums and provide subject matter expert input to architecture decisions
  • Manage holistic roadmap of architecture change initiatives across the bank, coordinating requirements across different initiatives
  • Provide technical expertise for change initiatives, working with solution architects, technical architects and business product owners
  • Work with IT to understand target architecture delivery dependencies and align delivery timeframes
  • Work with IT and the Data Management Office to ensure requirements for data governance, quality, metadata management, mastering and security are delivered
  • Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise wide data strategy
  • Build a framework of principles to ensure data integrity across the business
  • Build and maintain appropriate Enterprise Architecture artefacts including; Entity Relationship Models, Data dictionary, taxonomy to aid data traceability
  • Provide technical oversight to Solution Architects in creating business driven solutions adhering to the enterprise architecture and data governance standards
  • Be an advocate of data security principles and ensure appropriate security practices are embedded in any data strategy
  • Be an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standards
  • Develop key performance measures for data integration and quality
  • Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture
  • Working with the wider Enterprise Architecture community to develop the target architecture
  • To plan for team growth considering the skills required within the data architecture team and to assist in resourcing decisions
  • Drive consistent standards and approaches throughout the team, building an environment that encourages continuous improvement and innovation

Requirements:

  • Extensive experience of developing progressive information management solutions and end-to-end development life-cycle support and SDLC processes
  • Experience of leading a team including architects and subject matter experts
  • Established experience delivering information management solutions to large numbers of end users
  • Extensive experience in architecting and implementing enterprise data warehouse, Master data Management, data integration, BI & analytics, content management and data management platforms
  • Experience of creating and implementing data strategies that align with business objectives
  • Strong knowledge of industry best practices around data architecture in both cloud based and on prem solutions
  • A comprehensive understanding of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies such as Amazon Glue, EMR, Azure Data Factory, Data Lake, other analytics products
  • Excellent problem solving and data modelling skills (logical, physical, sematic and integration models) including normalisation, OLAP / OLTP principles and entity relationship analysis
  • Experience of mapping key Enterprise data entities to business capabilities and applications
  • A strong knowledge of horizontal data lineage from source to output
  • Excellent communication and presentational skills, confident and methodical approach, and able to work within a team environment

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