Job Description
Join our Digital team as a Data Solution Architect, where you’ll lead the design of data solutions that support our clients’ strategic and business objectives. Acting as the bridge between development teams and project stakeholders, you’ll help translate complex technical and business requirements into practical, scalable solutions throughout the project lifecycle.
Responsibilities
You will work closely alongside a talented cross‑functional team of Analysts, Scientists, and Engineers to deliver scalable, secure, and future‑focused solutions that align with both client objectives and AECOM’s strategic vision.
Solution Design & Architecture
* Lead the design and implementation of enterprise‑grade data solutions and platforms, ensuring standard quality metrics and alignment with client and AECOM’s business objectives.
* Translate complex business needs into captured technical requirements for development teams.
* Develop data‑centric architecture, utilising patterns such as lakehouse models, streaming architectures, and AI‑driven platforms.
Data Management & Governance
* Define and implement data governance frameworks, ensuring alignment with our client’s environmental requirements as well as compliance industry standards and best practices.
* Lead large‑scale cloud data ops such as warehouse migrations or digital twin implementation.
Technology Leadership
* Evaluate and integrate emerging technologies to enhance AECOM’s data and solution architecture capabilities.
* Act as a technical leader, facilitating discussions on architectural trade‑offs, standard practices, and risk mitigation strategies.
Stakeholder Engagement
* Collaborate and innovate with Project Stakeholders and client representatives to identify wider digital and transformation opportunities.
* Communicate complex technical concepts to non‑technical stakeholders, ensuring clarity and alignment.
Qualifications
* Bachelor’s degree in computer science, engineering, mathematics, or a related field (or equivalent professional experience).
* Proficiency in at least one programming language (Python preferred; Scala, Java, or C# also beneficial).
* Understanding of Data Engineering concepts (ETL, Medallion, Real‑Time Streaming, Orchestration).
* Understanding of DevOps practices (CI/CD, version control (Git), testing frameworks).
* Understanding of APIs, REST principles, and data integration patterns.
Benefits & EEO Statement
We celebrate diversity, including neurodiversity, and welcome applications from all backgrounds and abilities. As an Equal Opportunity Employer, we believe in each person’s potential and are committed to maintaining a secure and trustworthy recruitment process. All your information will be kept confidential according to EEO guidelines.
We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long‑term condition, if they meet the minimum criteria. For reasonable accommodations, please contact ReasonableAccommodations@aecom.com.
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