Data Solutions Architect
Listed on 2026-01-30
-
IT/Tech
Data Engineer, Cloud Computing
- Primary
Location:
UK - Bristol, 3 Rivergate
Work with Us. Change the World.
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.
There has never been a better time to be h accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We're one global team driven by our common purpose to deliver a better world. Join us.
Job DescriptionAs a Data Solution Architect, you will lead technical approaches that capture our client’s digital strategic vision and business needs into data solution. You will act as the bridge between development teams and project stakeholders, ensuring that complex technical and business requirements can be communicated effectively throughout the project lifecycle.
You will work closely with the wider cross‑functional Digital Team of Analysts, Scientists and Engineers ensuring that solutions are scalable, secure, are aligned with client requirements and aligned with AECOM’s strategic vision.
A successful candidate will bring a deep understanding of data systems, cloud platforms, and enterprise architecture principles, coupled with strong leadership and collaboration skills. Candidates will also be capable of efficiently capturing the solution design vision from inception and maintaining that vision though to deployment.
Your responsibilities will include:
- 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 patters such as lakehouse models, streaming architectures, and AI‑driven platforms.
- Develop data‑centric architecture, utilising patters 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.
- Develop data product strategies with a product‑led approach, ensuring alignment with AECOM’s data strategy.
- Oversee data modelling initiatives, employing methodologies such as 3NF, Dimensional, and Data Vault to support analytics and reporting needs.
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.
- Provide knowledge sharing sessions to the wider digital team to promote our culture of collaboration excellence and continuous improvement.
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.
- Build strong relationships with external vendors and partners to leverage expertise and resources.
- 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 Dev Ops practices (CI/CD,…
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