Data Warehouse Architect

At Leidos Australia, our work goes beyond a job title. We design, build, operate and support the systems, services and capabilities that help protect and advance the Australian way of life.

Backed by a global organisation of more than 40,000 people, our Australian team of around 2,000 has partnered with government, defence and national security customers for more than 30 years. We deliver mission‑critical solutions where reliability, trust and purpose matter.

About the Team

You’ll join a team where people work with integrity, inclusion, innovation, agility, collaboration and commitment. In practice, that means sharing ownership, solving complex problems together and staying connected to the customer context, the purpose behind the work and how each role contributes to meaningful outcomes.

The Civil Digital Modernisation business delivers IT services to Australian Federal and State Government departments and agencies to accelerate digital modernisation and ensure secure, resilient, and adaptive environments that meet evolving regulatory, compliance, and business needs. Our approach integrates advancing data, AI, cloud, and automation delivering agility, security, efficiency, and innovation at scale.

The Opportunity

As a Data Warehouse Architect, you will play a key role in shaping the organisation’s enterprise data landscape, enabling trusted insights and data‑driven decision‑making across the business. Working with business stakeholders, data professionals, and technology teams, you will design and govern modern data platforms that are scalable, secure, and aligned to strategic objectives.

- Lead the design and evolution of enterprise data warehouse, lakehouse,



and analytics architectures across cloud, on‑premises, and SaaS environments, ensuring solutions support current and future business needs.
- Define and implement data models, architecture standards, integration patterns, and governance frameworks that improve data quality, consistency, accessibility, and usability across the organisation.
- Provide technical leadership across ETL/ELT development, data integration, platform modernisation, and cloud transformation initiatives, guiding teams through complex architectural and delivery challenges.
- Partner with engineers, analysts, architects, and business stakeholders to deliver high‑performing, secure, and maintainable data solutions that support reporting, analytics, business intelligence, and operational decision‑making.

About You

- Significant experience in data warehousing, data architecture, database design, or data engineering within complex enterprise environments.
- Experience designing conceptual, logical, physical, and dimensional data models, including star schemas, fact tables, and dimension tables.
- Advanced SQL capability and experience working with relational database technologies and large‑scale data environments.
- Experience designing and overseeing ETL/ELT pipelines using technologies such as Azure Data Factory, AWS Glue, Informatica,



dbt, SSIS, or similar platforms.
- Knowledge of up-to-date cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, Amazon Redshift, Google BigQuery, or Azure Synapse.
- Experience with data governance, metadata management, lineage, security, privacy, and data quality frameworks.
- Ability to optimise data platform performance, scalability, storage, and workload management while maintaining operational reliability.
- Experience working collaboratively with stakeholders across business and technology teams and providing technical leadership, mentoring, and architectural guidance.
- Well‑developed communication skills with the ability to explain complex technical concepts to a range of audiences.

Advantageous

- Experience with cloud‑native data architectures, data lakes, lakehouses, and modern analytics platforms.
- Knowledge of Databricks, Delta Lake, Spark, Kafka, or other modern data processing and streaming technologies.
- Experience with dbt and contemporary data transformation practices.
- Familiarity with Data Vault, Kimball, data mesh, or other enterprise data modelling and architecture approaches.
- Experience implementing CI/CD practices and Infrastructure as Code within data platforms.
- Exposure to data cataloguing, governance, or metadata management tools.
- Relevant qualifications or certifications in cloud architecture, data engineering, database technologies, or enterprise architecture.

This role requires the successful applicant to be eligible to obtain and maintain a NV1 Security Clearance.

We welcome applications from people of all backgrounds.

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