Job description
Data Architect
DFP Recruitment is seeking an experienced Data Architect to join our federal Government Client team to provide thought Leadership in Data Architecture, Data Modelling, Design, Integration as well as be responsible for modelling and governing semantic data structures, ontologies and knowledge graphs to enable consistent, high-quality and future-ready data architecture.
The Key duties and responsibilities will be as below but not limited to:
If this sounds like the right opportunity for you, please submit an updated copy of your resume in MS Word format by hitting APPLY NOW or contact Humaira Hashmi on HHashmi@dfp.com.au
Applicants new to DFP may be asked to provide additional information including work rights status via a survey link – if requested, we ask that you provide this information in order to expedite your application.
DFP welcomes applications from Aboriginal and Torres Strait Islander people, people with diverse cultural and linguistic backgrounds and people with disability. In addition, DFP will provide reasonable adjustments for individuals with disability throughout the recruitment process. If you identify as a person with disability and require adjustments to the application, recruitment, selection and/or assessment process, please advise via adjustments@dfp.com.au or 1300 337 000 and indicate your preferred method of communication (email, phone, text) so we can keep in touch and meet your accessibility needs.
By clicking 'apply', you give consent that DFP may use your personal information to process your job application and to contact you for future employment opportunities. For further information on how DFP process your personal information please review the DFP Information Collection and Privacy Policy via https://www.dfp.com.au/about-us-1/policies. Do not submit any sensitive personal information in your resume.
- 12-month contract with extension potential
- Must be an Australian Citizen able to obtain Negative Vetting Level 1
- Locations: National (Open to all States)
DFP Recruitment is seeking an experienced Data Architect to join our federal Government Client team to provide thought Leadership in Data Architecture, Data Modelling, Design, Integration as well as be responsible for modelling and governing semantic data structures, ontologies and knowledge graphs to enable consistent, high-quality and future-ready data architecture.
The Key duties and responsibilities will be as below but not limited to:
- Architect Data solutions to support our client’s projects / programs business needs maximising the data and analytics ecosystem and associated technologies.
- An analytical mindset with experience in KRR - Knowledge Representation and Reasoning including designing and implementing ontologies, taxonomies, or semantic models to support AI/ML applications and has the ability to assess complex data relationships and structures systematically.
- Curiosity & Learning Mindset with interest in semantic technologies, ontologies and knowledge graph.
- Ability to integrate KRR models with AI/ML pipelines, enabling improved prediction, classification, or recommendation outcomes.
- Problem-solving ability to identify data inconsistencies and propose (or input into) potential solutions.
- Adaptability, to be comfortable working in a dynamic, fast-paced environment with evolving data models.
- Attention to detail with accuracy of data requirements and models.
- Manage productive stakeholder relationships and associated risks.
- Develop an agreed work-plan of key success indicators, milestones and outcomes.
- Regular reporting against success and effort.
- Provide strategic data deliverables, advice and guidance.
- Develop frameworks, guidelines and other relevant data related assets.
- Manage scope and direct a team in the delivery of outcomes.
- Familiarity with data mesh, data fabric, or modern data architectures.
- Experience in AI/ML model operationalisation.
- Experience working with knowledge graphs in enterprise or regulated environments.
- Familiarity with data governance frameworks and information architecture best practices.
- Understanding of ethical AI principles and data privacy frameworks.
- A working understanding of, or ability to rapidly acquire knowledge of data security controls.
- Provide guidance on Conceptual, Logical and Physical data models.
- Experience with Graph database ontology and knowledge graph like RDF, OWL, SPARQL, SHACL or GraphQL.
- Experience with the development of ontologies and taxonomies.
- Experience with semantic technologies (SPARQL, Protégé, Neo4j, GraphDB, or similar).
- Mapping structured & unstructured data to semantic models.
- Mapping data lineage, standards & governance and developing detailed data artefacts for ontology and data models.
If this sounds like the right opportunity for you, please submit an updated copy of your resume in MS Word format by hitting APPLY NOW or contact Humaira Hashmi on HHashmi@dfp.com.au
Applicants new to DFP may be asked to provide additional information including work rights status via a survey link – if requested, we ask that you provide this information in order to expedite your application.
DFP welcomes applications from Aboriginal and Torres Strait Islander people, people with diverse cultural and linguistic backgrounds and people with disability. In addition, DFP will provide reasonable adjustments for individuals with disability throughout the recruitment process. If you identify as a person with disability and require adjustments to the application, recruitment, selection and/or assessment process, please advise via adjustments@dfp.com.au or 1300 337 000 and indicate your preferred method of communication (email, phone, text) so we can keep in touch and meet your accessibility needs.
By clicking 'apply', you give consent that DFP may use your personal information to process your job application and to contact you for future employment opportunities. For further information on how DFP process your personal information please review the DFP Information Collection and Privacy Policy via https://www.dfp.com.au/about-us-1/policies. Do not submit any sensitive personal information in your resume.
