About this role
About us
Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.
The Role
As a Senior Principal Digital Solutions Consultant with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc.
- Define and maintain data architecture principles, standards, reference patterns and technology guardrails for the Data Products and Integration portfolio.
- Develop current-state and target-state architectures, transition roadmaps and architecture decision records.
- Translate business capabilities, data needs and non-functional requirements into scalable and supportable solution designs.
- Promote reuse, interoperability and simplification while reducing duplication, technical debt and total cost of ownership.
- Design domain-aligned data products with clear ownership, contracts, service expectations, quality measures and lifecycle controls.
- Define reusable patterns for ingestion, transformation, storage, metadata, semantic access, data sharing and consumption.
- Guide the design of analytical data models, curated datasets, operational data stores and semantic layers.
- Ensure data products are discoverable, understandable, trustworthy, secure and fit for reuse across reporting, analytics and AI.
- Work with product owners, data stewards and engineering teams to balance business value, delivery speed and architectural integrity.
- Support automated provisioning, CI/CD, Infrastructure as Code, policy-as-code and secure environment promotion.
- Embed data ownership, stewardship, metadata, lineage, classification, retention and quality requirements in solution designs.
Technical leadership and stakeholder engagement
- Provide practical technical leadership and mentoring to engineers, product teams and delivery partners.
- Partner with business, product, security, governance, platform and operations teams to achieve agreed outcomes
- Identify architectural risks, dependencies and technical debt early, and drive pragmatic remediation
About You
To be considered for this role it is envisaged you will possess the following attributes:
Required experience and capabilities
- Substantial experience delivering enterprise data and integration solutions, including experience in a Data Architect, Solution Architect or equivalent design role.
- Strong architecture knowledge across AWS and Azure data, integration, security and operational services.
- Hands-on experience designing Databricks Lakehouse solutions on AWS and/or Azure, including Delta Lake and Unity Catalog.
- Experience defining and delivering reusable, governed data products and applying domain-oriented data ownership principles.
- Strong understanding of data lakes, lakehouses, data warehouses, operational data stores and modernisation patterns.
- Strong architecture integration experience covering REST APIs, event-driven architecture, messaging, streaming, ETL/ELT and orchestration.
- Understanding of cloud security, networking, identity and access management, resilience, observability and cost optimisation.
- Strong SQL skills and working knowledge of Python, PySpark or similar technologies for technical validation and prototyping.
- Experience with Git, automated testing, CI/CD, DevOps or DataOps practices, and Infrastructure as Code such as Terraform or native cloud templates.
- Ability to influence stakeholders, lead design decisions and guide multiple delivery teams in an agile environment.
- Clear written and verbal communication, facilitation, problem-solving and decision-making skills.
Desirable experience and qualifications
- Experience with enterprise data catalogues and governance tools such as Collibra, Microsoft Purview or equivalent platforms.
- Experience with Power BI, Microsoft Fabric or enterprise semantic-layer technologies.
- Experience supporting machine learning, generative AI, vector data or AI-ready data products.
- Experience with Data Mesh operating models, product management practices and federated governance.
- Experience delivering solutions across multi-cloud, hybrid or globally distributed environments.
- Experience in engineering, energy, resources, capital projects or another asset-intensive industry.
- TOGAF, Certified Data Management Professional or an equivalent architecture or data management qualification.
Education - Qualifications, Accreditation, Training
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Management or a related discipline, or equivalent relevant experience.
- A master’s degree in a relevant discipline is desirable.