Data Architect

CareCone Group; Sydney; On-site; AUD 180,000 - 280,000; Full time

Job summary

CareCone Group seeks a seasoned data architect to lead data modelling, architecture, governance and capabilities roadmap, aligning with our technology direction. Define platforms, tools and governance processes while creating scalable data solutions.

You will collaborate with senior stakeholders, drive ARB approvals, and promote best practices across data mesh and product concepts, leveraging Kafka/Kinesis and Airflow to deliver enterprise data products.

Qualifications

• 10+ years in data/solution architecture and data engineering.
• Proven ability to design high quality data models and governance guidelines.
• Experience building data warehouses on Redshift or Teradata.
• Familiarity with data catalogues, governance tools and data mesh concepts.

Responsibilities

• Define data modelling design, architecture and governance aligned with technology direction.
• Design data platforms, tools and governing processes for BI capabilities.
• Deliver data solutions and product architecture that pass ARB governance.

Skills

Data architecture

Data engineering

Big data

Governance

Education

Bachelor's degree in CS or related field

Tools

Redshift

Teradata

Kafka

Kinesis

Airflow

Dagster

Terraform

Job description

We are seeking someone with the passion for understanding and leveraging data, with the attitude and behaviour to deliver on commitments and take ownership of data products when required.

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
• Demonstrated grasp of Architecture techniques and ability to work effectively with senior business stakeholders and initiative owners.
• Act as Technology advisors on data to business leaders and strategic leaders on technology direction.

Key Experience, Skills, and Qualifications

Domain Expertise

• 10 years+ of professional 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)
• 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.
• Bachelor's degree in computer science, computer programming or related field preferred