Data Architect / Senior Data Engineer - Newcastle

Data Architect / Senior Data Engineer - Newcastle

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
WeAreTechWomen

At a Glance

  • Tasks: Design and deliver scalable data platforms using cutting-edge technologies.
  • Company: Join a forward-thinking tech company in Newcastle with a focus on innovation.
  • Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on mentoring and continuous improvement.
  • Why this job: Lead the way in data architecture and make a real impact on business transformation.
  • Qualifications: 5+ years of experience in data engineering and strong technical skills.

The predicted salary is between 60000 - 80000 £ per year.

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: 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.

Data Architect / Senior Data Engineer - Newcastle employer: WeAreTechWomen

As a leading employer in the tech industry, our Newcastle office offers a dynamic work environment that fosters innovation and collaboration. We prioritise employee growth through mentorship opportunities and a commitment to technical excellence, while our hybrid working model ensures a healthy work-life balance. Join us to be part of a forward-thinking team that is shaping the future of data architecture and engineering.

WeAreTechWomen

Contact Details:

WeAreTechWomen Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect / Senior Data Engineer - Newcastle

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of landing that Data Architect gig.

Show Off Your Skills

Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving SQL, Python, or cloud services. This will give potential employers a taste of what you can do.

Ace the Interview

Prepare for technical interviews by brushing up on your knowledge of data architecture and cloud platforms. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.

Apply Through Our Website

Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Data Architect / Senior Data Engineer - Newcastle

Data Architecture
Cloud Technologies
AI & Data Products
Data Engineering
SQL
Python
Spark

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Architect/Senior Data Engineer role. Highlight your experience with cloud platforms, data architecture, and any relevant technologies like SQL and Python. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our team. Be sure to mention any specific projects or experiences that showcase your expertise.

Showcase Your Technical Skills:In your application, don't forget to highlight your hands-on experience with tools and technologies mentioned in the job description, like Azure, AWS, and GCP. We love seeing candidates who can demonstrate their technical prowess!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining StudySmarter!

How to prepare for a job interview at WeAreTechWomen

Know Your Data Architecture Inside Out

Make sure you’re well-versed in the latest data architecture trends and technologies. Brush up on your knowledge of cloud platforms like Azure, AWS, and GCP, as well as tools like SQL, Python, and Spark. Being able to discuss these confidently will show that you're not just familiar with the basics but are ready to lead in this role.

Prepare for Technical Questions

Expect to face technical questions that assess your problem-solving skills and understanding of data engineering principles. Practice explaining your thought process clearly and concisely. You might be asked to design a data pipeline or troubleshoot a scenario, so think through potential challenges and solutions beforehand.

Showcase Your Leadership Skills

As a Data Architect, mentoring junior engineers is part of the job. Be prepared to share examples of how you've guided teams in the past. Highlight any experiences where you’ve influenced data strategies or driven best practices, as this will demonstrate your capability to lead and inspire others.

Engage with Stakeholders

Communication is key in this role, especially when translating complex requirements into technical designs. Prepare to discuss how you've successfully engaged with stakeholders in previous roles. Think of examples where you’ve had to explain technical concepts to non-technical audiences, as this will showcase your ability to bridge the gap between tech and business.