The Application Infrastructure Branch is responsible for the provisioning and support of underlying applications and databases that support the Agency's critical services. This includes performing ongoing maintenance to ensure vendor support and stability, providing incident investigation and performance analysis, advanced monitoring solutions, and data and analytical reporting capabilities for senior executive committee and other federal agencies.
The Data Architect exercises a considerable degree of independence with work being performed under the general guidance of the team leader and the Director. A suitable candidate will have proven experience in understanding the data framework and data pipelines in a large scale organisation.
The Candidate Will ShowcaseExtensive 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.Proficiency in data modelling, database design, and ETL processes.Strong understanding of data governance principles and practices.Demonstrated stakeholder engagement and collaboration experience, particularly with senior executive 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 GovernanceDatabase Modelling and Design in relation to analytical and reporting systemsData ManagementResearch and AnalysisConceptual SkillsTechnical WritingCommunicates with InfluenceAdvanced Project ManagementThe candidate must also be familiar with the following concepts and display experience in a Lakehouse Architecture or similar model:
Data IngestionData FabricData MiningData TransformationData MartData StreamingData WarehousingThe 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 TechnologiesCloudera, Teradata, Apache, SAS, Mainframe, Qlik, SAP (HANA), DB2, Tableau, Power BI, Informatica.
Key Duties May Include, But Are Not Limited ToThe Data Architect will; Provide expert advice on data architecture and management best practices for implementation within SA Design business intelligence strategies and reports in response to evolving business needs and 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, providing effective data analysis strategies for data migration for systems replacement projects.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 the Services Australia (SA)s 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 that align with the SAs enterprise architecture.Provide expertise in the development and maintenance of a 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 fail over 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 the Section Director with advice and expertise in relation to the data platforms to support the system owners and applications to develop the SA data strategy and roadmap.Australian Citizen - Must have Negative Vetting Level 1 Working ArrangementsCandidates must work from Services Australia's Canberra office a minimum of 3 days per week.
Mandatory Criteria5 years previous experience working in a data warehousing environment description.Weighted CriteriaA degree in a relevant discipline, such as Information Technology or data science is highly desirable.Knowledge of Australian Government Data policies and procedures is desirable. #J-18808-Ljbffr