Data Architect/ Data Engineer

About the Opportunity

DXC Technology is pursuing a large-scale Government Data & Analytics Transformation program, commencing with a discovery and architecture definition phase before progressing into implementation.

The program will assess and define a future-state solution to support secure data ingestion and integration across Government, rules and analytics, explainable AI, workflow automation and human-led decision-making across classified LOW and HIGH environments.

We are seeking experienced Data Architects and Data Engineers to contribute to the design, development and implementation of the program’s future-state data solution.

Depending on experience, successful candidates may be responsible for defining enterprise data architecture, data models, governance and integration patterns, or taking a hands-on role designing and building data pipelines, ingestion processes and scalable data engineering solutions.

The successful candidates will work closely with enterprise and solution architects, technical leads, business analysts, security specialists and other engineering teams to deliver secure, reliable and fit-for-purpose data capabilities.

Key Responsibilities

Data Architecture

• Define and develop data architecture designs, principles, standards and patterns to support the future-state solution.
• Assess current-state data environments, platforms, systems and integration capabilities.
• Design scalable and secure data architectures to support enterprise data ingestion, storage, processing, transformation and analytics.
• Develop conceptual, logical and physical data models aligned with business and technical requirements.
• Define data integration patterns and approaches for connecting multiple Government systems and data sources.
• Establish data governance, metadata management, data quality, lineage and information management approaches.
• Work with enterprise and solution architects to ensure alignment with broader technology architecture and security requirements.
• Evaluate data platforms and technologies, including COTS and Government-proven solutions.
• Consider data architecture requirements across classified LOW and HIGH environments, including information boundaries, access controls and secure data sharing.
• Provide technical guidance and architectural oversight to data engineering teams.
• Support proof-of-concept activities, architecture reviews and technology selection.
• Ensure designs consider scalability, performance, resilience, interoperability and maintainability.

Data Engineering

• Design, develop and maintain scalable data pipelines and data engineering solutions.
• Build secure data ingestion, extraction, transformation and loading (ETL/ELT) processes.
• Integrate data from multiple sources, systems and platforms across complex enterprise environments.
• Develop and optimise data models, structures and processing workflows.
• Implement data validation, quality checks and monitoring to ensure accuracy, integrity and reliability.
• Work with data architects and technical leads to translate architecture designs into implementable engineering solutions.
• Develop and maintain reusable data engineering components, frameworks and automation.
• Optimise data processing, storage and query performance.
• Support the development of data platforms and environments for analytics, reporting, rules engines and AI-enabled capabilities.
• Troubleshoot data pipeline failures, integration issues and performance bottlenecks.
• Apply appropriate security, access control and data handling practices throughout the engineering lifecycle.
• Contribute to technical documentation, code reviews, testing and deployment activities.

Essential Experience & Skills

Data Architect

• Demonstrated experience in a Data Architect, Senior Data Architect or similar role.
• Experience designing enterprise data architectures for complex technology, data or analytics programs.
• Strong understanding of data modelling, data integration, data management and data governance.
• Experience designing data solutions across multiple systems, platforms and data sources.
• Understanding of data quality, metadata, lineage and information management principles.
• Experience working with enterprise data platforms and modern data architecture patterns.
• Ability to translate business requirements into practical data architecture designs.
• Strong stakeholder engagement skills and experience working across business and technical teams.

Data Engineer

• Demonstrated experience in a Data Engineer, Senior Data Engineer or similar hands-on engineering role.
• Strong experience designing, building and maintaining data pipelines and data integration solutions.
• Practical experience with ETL/ELT processes, data transformation and data processing.
• Strong SQL skills and experience working with relational and/or non-relational databases.
• Programming or scripting experience, particularly Python, PySpark or similar.
• Experience working with enterprise data platforms, data warehouses or data lakes.
• Understanding of data quality, validation, performance optimisation and pipeline monitoring.
• Experience working within collaborative engineering teams and modern software development practices.

Desirable Experience

• Experience with enterprise data platforms such as Databricks, Snowflake or Palantir Foundry.
• Experience with cloud data services across Azure, AWS or Google Cloud Platform.
• Exposure to data lakehouse architectures, distributed processing and large-scale data environments.
• Experience with data integration technologies, APIs, streaming or event-driven architectures.
• Familiarity with tools and technologies such as Apache Spark, Kafka, dbt, Airflow or similar.
• Experience supporting analytics, business intelligence, rules engines or AI-enabled solutions.
• Exposure to platforms such as Pega or Appian and their integration with enterprise data environments.
• Experience delivering solutions within Australian Government, Defence or National Security environments.
• Understanding of data security, classification, sovereignty, access controls and secure information sharing.
• Experience working across on-premises, hybrid, cloud or air-gapped environments.
• Familiarity with relevant Government security frameworks and standards, including the ISM and PSPF.

Location & Engagement

• Canberra-based roles, with on-site attendance preferred during the initial discovery and architecture definition phase.
• Technical LOW elements (PROTECTED) may also open opportunities in Zone 2 facilities in Sydney and Adelaide, subject to project requirements.
• Client-facing and business engagement roles are expected to be Canberra-based.
• Permanent and contracting opportunities may be considered.
• Security clearance requirements will be subject to project requirements and access to the relevant environment.
• The successful candidate will hold an active NV2 clearance with a preference for a TSPV.