Role: Data Architect / Senior Data Engineer
Location: Newcastle Upon Tyne
Levels: Associate Manager
Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application.
Hybrid Working: Please note – This role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week.
Role Overview
As a Data Architect, you will spearhead the design and delivery of scalable, enterprise‑grade data platforms. You will define and drive data strategies, architect modern AI & data products, and ensure platforms are aligned to business and enterprise standards. Leveraging modern cloud, AI and data engineering technologies, you will deliver ethical, secure, and future‑proof data architectures that enable business transformation.
Key Responsibilities
- Guide the development of data architecture direction for projects and clients.
- Influence enterprise data strategies and drive adoption of best practices across data engineering and architecture.
- Mentor and develop junior engineers and architects, fostering a culture of technical excellence and innovation.
Architectural Excellence
- Architect and design enterprise‑scale agent ready data platforms for scalability, reliability, and high performance.
- Define and enforce data architecture standards, patterns, and governance frameworks for pipelines, ingestion layers, modelling, and analytics.
- Architect with advanced AI and data modelling approaches to create innovative solutions suited to client needs.
- Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on‑premises) using Azure, AWS, and GCP services.
Technical Leadership
- Oversee data modelling, data governance, and data quality frameworks while driving technical excellence.
- Strong hands‑on experience in technologies such as SQL, Python, Spark, and modern cloud data services.
- Collaborate with engineering and DevOps teams to establish CI/CD architectures using Azure DevOps, Kubernetes, and Terraform.
- Familiarity with at least one major cloud platform (Azure, AWS, or GCP) and associated data services.
- Guide the selection and implementation of analytics and reporting tools (Power BI, Tableau, PowerApps).
Stakeholder Engagement
- Able to work closely with senior stakeholders to translate complex business requirements into scalable data platform solutions and translate them into technical designs.
- Ensure all solutions meet security, compliance, and performance standards and align with enterprise architecture principles.
- Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences.
Innovation & Emerging Technologies
- Apply modern data architecture patterns (Cloud Native, streaming/batch ingestion, Data Lakehouse).
- Evaluate emerging data engineering and platform technologies to drive continuous improvement and innovation.
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