Enterprise Architect

vor 3 Wochen

Sydney, Österreich Infosys Singapore & Australia Vollzeit

Job Description: The Enterprise Data Architect is responsible for setting the strategy for the organization's data architecture and providing technical architecture direction for delivery of the target state.
The person appointed 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.
They will apply their knowledge of good architecture practice, architecture documentation and data technologies to comprehensively capture the organization's current state holistic data architecture and oversee target state design and implementation.
The role will involve collaborating with Business, Data Management Office, and internal and external IT stakeholders at all levels to ensure the enterprise data strategy and associated implementation is adding value to the business.
Main duties Documenting the detailed holistic physical data architecture for both current and target stateCapturing 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 completeLead data architecture governance forums and provide subject matter expert input to architecture decisionsManage holistic roadmap of architecture change initiatives across the bank, coordinating requirements across different initiativesProvide technical expertise for change initiatives, working with solution architects, technical architects and business product ownersWork with IT to understand target architecture delivery dependencies and align delivery timeframesWork with IT and the Data Management Office to ensure requirements for data governance, quality, metadata management, mastering and security are deliveredBe a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise wide data strategyBuild a framework of principles to ensure data integrity across the businessBuild and maintain appropriate Enterprise Architecture artefacts including; Entity Relationship Models, Data dictionary, taxonomy to aid data traceabilityProvide technical oversight to Solution Architects in creating business driven solutions adhering to the enterprise architecture and data governance standardsBe an advocate of data security principles and ensure appropriate security practices are embedded in any data strategyBe an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standardsDevelop key performance measures for data integration and qualitySupport third party data suppliers in developing specifications that are congruent with the Enterprise data architectureWorking with the wider Enterprise Architecture community to develop the target architectureTo plan for team growth considering the skills required within the data architecture team and to assist in resourcing decisionsDrive consistent standards and approaches throughout the team, building an environment that encourages continuous improvement and innovationKnowledge and experience Essential Extensive experience of developing progressive information management solutions and end-to-end development life-cycle support and SDLC processesExperience of leading a team including architects and subject matter expertsEstablished experience delivering information management solutions to large numbers of end usersExtensive experience in architecting and implementing enterprise data warehouse, Master data Management, data integration, BI & analytics, content management and data management platformsExperience 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 analysisExperience of mapping key Enterprise data entities to business capabilities and applicationsA strong knowledge of horizontal data lineage from source to outputExcellent communication and presentational skills, confident and methodical approach, and able to work within a team environment. #J-18808-Ljbffr

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