Data Architect / Senior Data Engineer - Newcastle

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

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

As a team

Our Advanced Technology Centre is a thriving technology and innovation hub from where we deliver high quality services to a number of private and public sector clients.

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways

If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.

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

Strategic Leadership

• 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.

Technical Expertise

• Recognised expert in Data Architecture, Data Modelling, Engineering, and data platform design.
• Experience utilising distributed and non-distributed compute architectures with strong proficiency in Python, SQL, Spark, and Scala.
• Experience architecting CI/CD frameworks (Azure DevOps, GitHub Actions, Jenkins) with real-world platform lifecycle management.
• Infrastructure-as-Code expertise (Terraform, Ansible) for platform provisioning and automation.
• Proficient with container orchestration (Kubernetes, Docker)

Certifications & Tools

• Familiarity with data visualisation and UI tools (Power BI, PowerApps, Tableau).
• Experience with modern data platforms (Databricks, Snowflake).
• Cloud certifications (Azure, AWS, GCP) and experience with cloud-native data engineering tools (e.g., ADF, AWS Glue, GCP Dataflow).

Other Requirements

• Minimum 8 years' experience in client-facing data engineering or data architecture roles.
• Experience working in Agile and Waterfall environments.
• Strong communication and stakeholder management skills.
• Security and compliance awareness.
• Relevant industry certifications (e.g., Azure Data Engineer, AWS Solutions Architect, GCP Data Engineer).
• Experience mentoring or managing technical teams.

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