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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
You are an experienced data professional who combines strategic thinking with hands-on technical expertise. You enjoy translating business requirements into practical data solutions and are passionate about building data platforms that are reliable, scalable, and trusted by stakeholders across the organisation.
Essential
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 modern 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.
What to Expect When You Apply
Our hiring process is designed to be straightforward, respectful and easy to navigate. If your skills, experience and qualifications look aligned with the role, our Talent Acquisition team will contact you to discuss the next stage. You can expect:
An initial conversation with our Talent Acquisition team
An interview with the hiring manager or interview panel
Any role-specific assessment, technical discussion or customer step required for the position
We’ll let you know what to expect before each stage, including who you’ll meet and how to prepare. If you need any adjustments or support during the process, please let us know.
Ready to explore what’s possible?
If this sounds like a role where you can make an impact and continue to grow, we’d like to hear from you. Please apply via the “Apply Now” button with your resume. If you have any questions about the role or recruitment process, please contact Ben George, Talent Acquisition.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
