Role : Data Architect

Type of role - Permanent Position

Location : Sydney, Australia

Key Responsibilities

- Define and design the overall data modelling design, data architecture, strategy, data governance and data capabilities roadmap that are consistent with our technology direction.
- Define and design the data platforms, tools and governing process
- Create, maintain and communicate go-forward strategies for business intelligence capabilities and tools.
- Responsible and accountable for producing the data solution and data product architecture design ensuring that they are submitted and progress via the prescribed governance process through to approval (ARB) in a timely manner aligned with project prescribed timelines.
- Define and review data solutions for re-usability, scalability, synergy opportunities and alignment to defined best practice and guidelines
- Create and evolve data technology roadmap, to align with continuously evolving business needs.
- Help defining and improving best practices, guidelines, and integration with other enterprise solutions.
- Participates in planning, dependency identification, and management as well as estimation with Project Managers.
- Leads Work Breakdown identification and workshops utilising Architecture designs as input

Domain Expertise

- 10 years+ of skilled experience in data/solution architecture & data engineering.



Demonstrating a high degree of proficiency in designing and developing complex, high quality data modelling, data solutions and defining the best practices and governance guidelines.
- Strong experience and Skills in developing and maintaining data warehouses in big data solutions (e.g. Redshift, Teradata)
- Big data development experience using distributed compute Infra/frameworks (e.g., Glue, EMR, Spark, DBT)
- Experience with data catalogue and data governance tools.
- Experience with data streaming platforms (e.g., Kafka/Kinesis)
- Familiarity with operational orchestration platforms (e.g., Airflow, Dagster)
- Understanding of Data Mesh and Data Product concepts
- Telecommunication Industry experience
- Conceptual knowledge of Infrastructure as Code (e.g., Terraform)
- Exposure to machine learning, reporting, data sharing, data intensive application-oriented use cases
- Extensive experience in consulting with business stakeholders and other user groups to deliver both strategic and tactical information management solutions
- Experience working within matrix structures, with demonstrated ability to broker outcomes effectively and collaboratively with colleagues and peers.
- Experience on different delivery methodologies (e.g., Waterfall, Agile)

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📌 Data Architect (Sydney)
🏢 CareCone Group
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