At a Glance
- Tasks: Design and deliver scalable data platforms using cutting-edge technologies.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Hybrid working, competitive salary, training opportunities, and access to a global network.
- Other info: Mentorship opportunities and a culture that thrives on diversity and shared success.
- Why this job: Make an impact with innovative data solutions in a vibrant, collaborative environment.
- Qualifications: 8+ years in data engineering or architecture, strong technical skills in SQL, Python, and cloud platforms.
The predicted salary is between 50000 - 60000 £ per year.
Location: Newcastle Upon Tyne
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 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.
Data Architect / Senior Data Engineer - Newcastle employer: Accenture
Accenture is an exceptional employer, offering a dynamic work culture in London that fosters innovation and collaboration. With competitive benefits like 30 days of vacation, access to fitness classes, and private medical insurance, employees are supported in achieving a healthy work-life balance while also having ample opportunities for professional growth and development within the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect / Senior Data Engineer - Newcastle
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We think you need these skills to ace Data Architect / Senior Data Engineer - Newcastle
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Accenture. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Accenture
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
