Senior Data Architect (Citizens with Baseline)

XPT Software; Melbourne; On-site; AUD 130,000 - 170,000; Full time

Job summary

XPT Software in Melbourne is seeking a Senior to Principal Data Architect to drive modern data engineering practices and ensure resilience and sustainability of data-heavy deliverables. You will design target data models, oversee migrations from legacy sources, and shape data governance with government custodians.

The role reports to the Technical Program Lead within the Data function, and requires seniority in data architecture for large legacy migrations and governance in a government context.

Qualifications

• Experience in data architecture for large legacy data migrations.
• Experience with data governance in government.
• Desirable knowledge of Databricks and ADABAS data structures.

Responsibilities

• Design target data models and map them from ADABAS and Informix sources.
• Define data governance, lineage, quality and classification controls with ASIC data custodians.
• Design migration, coexistence and system of record rules.
• Support the Data Governance and Quality project and ASIC's data strategy.

Skills

Data architecture

Legacy data migrations

Data governance

Tools

Databricks

ADABAS

Job description

Purpose: promote modern data engineering practice and assure the resilience and sustainability of data heavy deliverables.

Seniority: Senior to principal.

Data Architect

Purpose: promote modern data engineering practice and assure the resilience and sustainability of data heavy deliverables.

Seniority: Senior to principal.

Reports to: Technical Program Lead, working with the Data function.

Responsibilities

• Design target data models and map them from ADABAS and Informix sources.
• Define data governance, lineage, quality and classification controls with ASIC data custodians.
• Design migration, coexistence and system of record rules.
• Support the Data Governance and Quality project and ASIC's data strategy.

Essential: data architecture for large legacy data migrations to modern platforms; data governance in government.

Desirable: Databricks; ADABAS data structures (periodic groups, multiple value fields); privacy by design.