Data Architect / Senior Data Engineer - Newcastle

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Software Engineering

In short

As a Data Architect / Senior Data Engineer in Newcastle, you will design and deliver scalable, enterprise-grade data platforms, define data strategies, and architect modern AI & data products. This role requires a minimum of 8 years of experience in client-facing data engineering or architecture, proficiency in cloud technologies (Azure, AWS, GCP), and strong skills in SQL, Python, and Spark. The position involves hybrid working and requires the ability to undergo security clearance.

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.
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.
Oversee data modelling, data governance, and data quality frameworks while driving technical excellence.
Collaborate with engineering and DevOps teams to establish CI/CD architectures using Azure DevOps, Kubernetes, and Terraform.
Guide the selection and implementation of analytics and reporting tools (Power BI, Tableau, PowerApps).
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.
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.

Requirements

Minimum 8 years’ experience in client‑facing data engineering or data architecture roles.
Strong hands-on experience in technologies such as SQL, Python, Spark, and modern cloud data services.
Familiarity with at least one major cloud platform (Azure, AWS, or GCP) and associated data services.
Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences.
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).
AI cognizant with experience of applying for coding, processes and agentic ways of working.
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).
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.

Desired Qualifications

Willingness to go through a Security Clearance (Including BPSS) process.
Requires 5+ years UK address history at the point of application.

Benefits

Opportunities to learn, grow and advance in an innovative culture that thrives on shared success.
Diverse ways of thinking and enabling boundaryless opportunities that can drive your career in new and exciting ways.
Access to training and a global network of experts.
Working with cutting-edge technologies and opportunity to develop a wide range of new skills on the job.
Opportunities to keep skills relevant through certifications, learning, and diverse work experiences.
Support for people’s physical, mental, and financial health.
Consistently recognized as one of the World’s Best Workplaces™.

Skills

SQLPythonSparkAzureAWSGCPPower BITableauPowerAppsAzure DevOpsKubernetesTerraformScalaAnsibleDockerDatabricksSnowflakeADFAWS GlueGCP DataflowGitHub ActionsJenkins

#Data Architecture#Data Modelling#Data Engineering#Platform Design#Cloud#AI

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