At a Glance
- Tasks: Lead the design of scalable data platforms and drive innovative data strategies.
- Company: Join Accenture, a global leader in professional services and technology.
- Benefits: Enjoy hybrid working, competitive salary, and access to extensive training.
- Other info: Mentorship opportunities and career growth in a dynamic tech hub.
- Why this job: Make an impact with cutting-edge technologies in a vibrant, innovative environment.
- Qualifications: 8+ years in data engineering or architecture, strong communication skills required.
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.
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.
Data Architect / Senior Data Engineer - Newcastle employer: Accenture
Accenture is an exceptional employer, offering a vibrant work culture in Newcastle Upon Tyne that fosters innovation and collaboration. With access to cutting-edge technologies and a commitment to employee growth through mentorship and training, you will thrive in a supportive environment that values diverse perspectives and shared success. Join us to be part of a global team dedicated to driving meaningful change and creating lasting value for clients and communities alike.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect / Senior Data Engineer - Newcastle
✨Tip Number 1
Network like a pro! Reach out to current employees at Accenture or in similar roles on LinkedIn. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss SQL, Python, and cloud platforms like Azure or AWS. We want to see that you can walk the talk when it comes to data architecture!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss past projects where you tackled complex data challenges. We love hearing about how you’ve used innovative solutions to drive success!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at Accenture!
We think you need these skills to ace Data Architect / Senior Data Engineer - Newcastle
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Architect role. Highlight your experience with data platforms, cloud technologies, and any relevant certifications. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with SQL, Python, and cloud services like Azure or AWS. We love seeing candidates who can demonstrate their knowledge in data architecture and engineering.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the important bits!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Accenture
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in SQL, Python, and cloud platforms like Azure, AWS, or GCP. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Understand the Business Context
Familiarise yourself with Accenture's business model and the specific challenges they face in data architecture. This will help you tailor your answers to show how your skills can directly benefit their projects and clients.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or design data architectures on the spot. Practice articulating your thought process clearly, as this will demonstrate your strategic thinking and problem-solving abilities.
✨Showcase Your Leadership Skills
As a senior role, they'll be looking for evidence of your ability to mentor and lead teams. Prepare examples of how you've guided junior engineers or influenced data strategies in previous roles to highlight your leadership capabilities.
