At a Glance
- Tasks: Lead the delivery of innovative data solutions and guide teams to success.
- Company: Dynamic tech firm focused on data and AI with a collaborative culture.
- Benefits: Competitive salary, flexible working, generous leave, and comprehensive health benefits.
- Other info: Flexible work arrangements and commitment to diversity and inclusion.
- Why this job: Shape impactful data architectures and drive transformation in a supportive environment.
- Qualifications: Experience in data architecture and strong leadership skills required.
The predicted salary is between 75000 - 75000 € per year.
Do you enjoy shaping robust data solutions and leading teams to deliver high-quality outcomes for clients? As a Senior Data Architect within our Data & AI Practice, you will play a critical role in the technical delivery of complex data solutions across our Strategic Digital Solutions sector. In this role, you will set the technical direction on projects, ensuring data architectures meet client needs while being delivered to agreed time, budget and quality expectations. You will work in a collaborative, professional services environment where coaching others, improving standards and sharing knowledge are actively encouraged. Alongside project delivery, you will contribute to developing repeatable data platform offerings and help strengthen how we work as a wider data and AI community.
We can offer great career progression opportunities, ability to be based anywhere across the UK, benefits which you can flex to meet your needs, and training and development opportunities.
What you'll be doing:
- Leading the technical delivery of enterprise data solutions to meet agreed time, budget and quality outcomes.
- Providing specialist data architecture input into bids, solution design and delivery projects.
- Designing end-to-end data architectures and producing clear, high-quality design artefacts.
- Leading and directing data engineering teams, including line management responsibilities.
- Acting as a trusted technical advisor to clients on data architecture, strategy and governance.
- Contributing to reusable data platforms, technical standards and practice capability.
What you'll bring:
- Proven experience in enterprise and solution data architecture using recognised frameworks such as The Open Group Architecture Framework.
- Hands-on experience designing and delivering modern data platforms using technologies such as Azure Data Lake Gen2, Azure Synapse Analytics, Microsoft Fabric, Snowflake, Oracle, SAP or Teradata.
- Strong expertise in data integration and pipeline development using tools such as Azure Data Factory, Microsoft Fabric, Talend, IBM DataStage, SAS DI Studio or AWS Glue.
- Advanced data modelling, transformation and querying skills using languages such as SQL and Python.
- Experience delivering data quality, metadata management and governance solutions using tools such as Microsoft Purview, Collibra Data Catalog, Informatica IDQ or Talend Data Quality.
- A strong track record of leading technical teams in client-facing environments and taking accountability for delivery quality.
If you're interested in this role but not sure if your skills and experience are exactly what we're looking for, please do apply, we'd love to hear from you!
Although this role is advertised as full-time, we believe that flexibility at work can promote work/life balance, increase your motivation, reduce stress and improve performance and productivity. We support different ways of working and can offer a range of flexible working arrangements. So, if you're interested and need to work flexibly, we encourage you to apply and talk to us about what might be possible.
We embrace difference as a source of creativity, innovation and competitive advantage and are striving to become a more diverse organisation. We welcome applications from people with a diverse variety of backgrounds and identities. We are committed to equality of opportunity for all and do not discriminate on the basis of race, religion, colour, gender, age, disability, sexual orientation or marital status.
If you require any adjustments to the recruitment process, to enable you to perform to the best of your ability, please let us know when completing your application. We participate in the Disability Confident scheme and are committed to offering an interview to any candidate with a disability, who meets the minimum criteria for the role. If you believe this could apply to you, please let us know when completing your application.
Data Architect in Manchester employer: Sopra Steria
As a Senior Data Architect in our Data & AI Practice, you will thrive in a collaborative and innovative environment that prioritises professional growth and flexibility. With opportunities for career progression, a generous benefits package including a £5,400 car allowance, and a commitment to work-life balance through flexible working arrangements, we empower our employees to excel while making a meaningful impact on client outcomes across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI community. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects. Include case studies, design artefacts, and any cool solutions you've delivered. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions. Think about how you can demonstrate your experience with tools like Azure Data Lake or SQL. Practice explaining complex concepts in simple terms – it shows you can communicate effectively with clients.
✨Tip Number 4
Don't hesitate to apply through our website! Even if you think you might not tick every box, we want to hear from you. Your unique background could be just what we're looking for, so go ahead and submit that application!
We think you need these skills to ace Data Architect in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data architecture and the specific technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include examples of past projects where you've led technical delivery or designed data solutions. This helps us understand your hands-on experience and how you approach complex challenges.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant to the role. We appreciate clarity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Sopra Steria
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the latest data architecture frameworks, especially The Open Group Architecture Framework. Brush up on your hands-on experience with modern data platforms like Azure Data Lake and Snowflake, as these will likely come up during your interview.
✨Showcase Your Leadership Skills
Since this role involves leading technical teams, be prepared to discuss your previous experiences in managing teams and delivering projects. Share specific examples of how you’ve directed teams to meet quality outcomes and how you’ve acted as a trusted advisor to clients.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data integration and pipeline development. Familiarise yourself with tools like Azure Data Factory and SQL, and be ready to demonstrate your advanced data modelling skills through practical examples or scenarios.
✨Emphasise Collaboration and Knowledge Sharing
This role values collaboration and coaching others, so highlight any experiences where you’ve contributed to team learning or improved standards. Discuss how you’ve shared knowledge within your teams and how you can help strengthen the wider data and AI community.
