Hands-On Data Architect: Cloud Platform & Power BI

Konnexus

Melbourne

In loco

AUD 120.000 - 180.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Konnexus in Melbourne is seeking a hands-on Data Architect to design and implement a cloud-based data platform in a greenfield environment. The role balances architecture leadership with practical delivery across data modelling, ETL/ELT pipelines and Power BI.

You will shape the data strategy and architecture, work across reporting models, ensure governance and best practices, and engage with stakeholders to translate business needs into technical solutions.

Competenze

  • Strong data architecture experience in complex environments.
  • Hands-on data modelling, including dimensional and enterprise modelling.
  • Experience designing ETL/ELT pipelines.
  • Strong Power BI and semantic model experience.
  • Knowledge of modern data warehouse and data platform architecture.
  • Ability to switch between high-level architecture and hands-on delivery.
  • Stakeholder engagement to translate business requirements.

Mansioni

  • Help define and deliver the overall data strategy and architecture roadmap
  • Design logical and physical data models across the data environment
  • Get hands-on with the development of ETL/ELT pipelines and data integrations
  • Design scalable data warehouse and data platform solutions
  • Work across Power BI, semantic modelling and reporting architecture
  • Ensure data models are designed effectively for reporting and analytics requirements
  • Establish best practices across data architecture, security, governance and integration

Conoscenze

Data Architecture
Data Modelling
ETL/ELT
Power BI
Data Warehouse
Stakeholder Engagement
Governance

Descrizione del lavoro

Konnexus in Melbourne is seeking a hands-on Data Architect to design and implement a cloud-based data platform in a greenfield environment. The role balances architecture leadership with practical delivery across data modelling, ETL/ELT pipelines and Power BI.

You will shape the data strategy and architecture, work across reporting models, ensure governance and best practices, and engage with stakeholders to translate business needs into technical solutions.

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