Data Warehouse Architect

00160 Leidos Australia Pty Ltd.; Melbourne; On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Flex Your Way

Wellbeing That Matters

Learn Without Limits

Work That Makes an Impact

Build Your Future

And Much More

Job summary

Leidos Australia is seeking a Data Warehouse Architect to shape our enterprise data landscape in Melbourne. You will design, govern and evolve data warehouse, lakehouse and analytics architectures across cloud, on‑premises and SaaS environments, enabling trusted insights for decision making.

You will lead data modelling, ETL/ELT development, and governance frameworks, partnering with engineers, analysts and business stakeholders to deliver high‑performing, secure data solutions for reporting and

Qualifications

• Experience in data warehousing and data architecture within complex enterprise environments.
• Experience designing conceptual, logical, physical, and dimensional models (star schemas, fact and dimension tables).
• Advanced SQL and experience with large-scale data environments.
• Experience with ETL/ELT pipelines using Azure Data Factory, AWS Glue, Informatica, dbt, SSIS or similar.
• Knowledge of modern cloud data platforms such as Snowflake, Databricks, Azure Synapse, Redshift or BigQuery.
• Experience with data governance, metadata management, lineage and data quality frameworks.
• Ability to optimise data platform performance and reliability.

Responsibilities

• Lead the design and evolution of enterprise data warehouse, lakehouse, and analytics architectures across cloud, on-premises, and SaaS environments.
• Define data models, standards, integration patterns, and governance frameworks to improve data quality and accessibility.
• Provide technical leadership across ETL/ELT, data integration, platform modernisation, and cloud transformation.
• Partner with engineers, analysts and stakeholders to deliver secure, maintainable data solutions for reporting and BI.

Skills

Data warehousing

Data architecture

SQL

Enterprise data modelling

Cloud data platforms

Data governance

Tools

Azure Data Factory

AWS Glue

Informatica

dbt

SSIS

Snowflake

Databricks

Job description

About Leidos Australia

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.

Leidos is a destination for people who want their work to have purpose, their contribution to be recognised, and their career to grow without needing to fit a single mould. Meaningful work is supported by benefits, flexibility and career pathways that help you grow while balancing life outside work. This includes:

• Flex Your Way - Tailor work to your life with options including Life Days (up to 12 extra days off per year), part-time arrangements, job sharing, and compressed hours.
• Wellbeing That Matters - Free access to Headspace and MeQuilibrium, plus dedicated wellness spaces to support your mental, physical, and emotional wellbeing.
• Learn Without Limits - Access over 120,000 on-demand courses, alongside technical, project management, leadership, and professional development opportunities.
• Work That Makes an Impact - Contribute to nationally significant projects that matter, solve complex challenges, and accelerate your career through unique growth opportunities.
• Build Your Future - Whether you're deepening technical expertise or preparing for leadership, we'll invest in your development every step of the way.
• And Much More - These are just a few of the ways we invest in our people and help them thrive.

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.

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.

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.