Data and Solutions Architect

About the job

Dynamic role to shape and uplift the future data landscape at Endeavour.

Hybrid working arrangements (3:2 Onsite and Remote). Job Location: Corporate Drive, Cannon Hill.

Endeavour Foundation is one of Australia’s largest employers of people living with disability. Our people live and breathe our purpose every day, with flexible working, great perks, and work/life balance. We are dedicated to creating an inclusive culture where our employees can grow, learn, and do their best work.

Our purpose and the role

We are seeking a highly skilled Data and solutions Architect with proven experience designing and delivering enterprise-scale data solutions. You will lead the development of data architecture across integration, data lakes, data warehousing, analytics, and governance, ensuring our organisation’s data is structured, secure, and strategically aligned.

You will bridge business requirements and technical delivery, providing architectural leadership, clear strategy, and hands-on design to support business intelligence, operational analytics, and regulatory compliance.

Key Responsibilities

- Enterprise Data Architecture: Develop and maintain enterprise-wide data architecture strategies, ensuring scalability, security, availability, and alignment with organisational goals.

- Solution Design: Lead the design of data platforms, data integration with business application data warehouse / lakes, BI/reporting systems, and integration patterns (batch, streaming, APIs, microservices etc.).

- Data Modelling: Develop conceptual, logical, and physical models across structured, semi-structured, and unstructured datasets using industry-standard techniques (Bill Inmon, Ralph Kimball, Data Vault etc.).

- Governance & Standards: Define and enforce standards for data quality, metadata management, security, privacy, and regulatory compliance (DAMA, OAIC APP, TOGAF, CMMI / DCAM, ISO Standards).

- Cloud & Hybrid Architecture: Architect data solutions using Azure, Snowflake, Informatica and modern data stack including design for hybrid and multi-cloud environments.

- Collaboration & Advisory: Partner with business stakeholders, enterprise architects, and delivery teams to translate business objectives into data-driven solutions.

- Lifecycle Management: Map current state architectures to future state; manage roadmaps for modernisation, rationalisation, and optimisation of data assets.

- Data Engineering Enablement: Guide the data engineering teams on best practices for CI/CD, automation, integration, and use of modelling tools (DEVOPS, VISIO, ERWIN or equivalent).

- Performance & Optimisation: Review and evaluate architecture effectiveness, scalability, and performance, recommending enhancements.

- Change Leadership: Promote and embed data strategy and culture across the organisation, acting as a trusted advisor on data-driven decision-making.

Experience & Skills

- Minimum 10 years’ experience in enterprise data architecture, solution design, and data management within non-profit industries or private / public organisations.

- Proven track record in architecting BI/reporting, integration architectures, and large-scale analytics platforms.

- Strong knowledge of cloud-native and hybrid solutions (Azure, AWS, Snowflake, Informatica, Databricks).

- Expertise in data modelling methodologies (Bill Inmon, Ralph Kimball, Data Vault 2.0 etc.) with practical use of Azure DevOps, Visio or other enterprise modelling tools.

- Hands-on experience in data engineering concepts including pipelines, CI/CD, orchestration, and DevOps integration.

- Deep understanding of data governance, metadata, data quality, and master/reference data management.

- Experience in modern integration approaches (APIs, event-driven design, streaming technologies).

- Proven ability to work within Agile/Scrum delivery environments.

- Excellent communication and stakeholder engagement skills, with demonstrated ability to translate technical concepts into business value.

- Strong analytical and problem-solving skills with the ability to lead in complex, high-pressure environments.

Education

- Bachelor’s degree in Computer Science, Information Technology, Mathematics, Engineering, or related discipline (essential).

- Postgraduate qualification (Masters in Data Science, Information Systems, or equivalent with IT/Data focus) is highly desirable for seniority.

- Architecture and Solutioning certification in Microsoft, Azure, Snowflake, Informatica is highly desirable (not mandatory).

Benefits And Perks

- A great opportunity to work in a collaborative and supportive team that values quality, accountability, and delivering positive business impact.

- Exposure to modern tools, platforms, and data practices in a forward-thinking environment.

- Be trusted to lead your work and shape the organisation’s analytics capability and culture.

- A chance to contribute to shaping the organisation’s analytics capability and data culture.

- Recognition and rewards through our internal appreciation program.

- A salary package with benefits including income tax savings opportunities and additional allowances.

- Discounts on Corporate Private Health Insurance, selected Kia vehicles and white goods at Harvey Norman. Discounted family gym memberships through Fitness Passport.

- Supportive induction and learning opportunities.

- 6 weeks paid parental leave for primary carer.

- Free coaching and counselling through our Employee Assistance Program.

If you’re ready to join a team who are passionate, culturally strong and drive positive outcomes, apply now We look forward to hearing from you

Endeavour Foundation encourages applications from people of all ages, nationalities, abilities, and cultures. This includes Aboriginal and Torres Strait Islander peoples, CALD (Culturally and Linguistically Diverse), the LGBTQI+ community, and people with disability. We value inclusivity and are committed to adjusting our recruitment process to ensure accessibility and support of an applicant's needs.

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