Senior Data Architect: Enterprise Data Platforms Lead

Senior Data Architect: Enterprise Data Platforms Lead

Full-Time 75000 - 75000 £ / year (est.) Home office (partial)
Sopra Steria

At a Glance

  • Tasks: Lead the delivery of innovative data solutions and guide talented teams.
  • Company: Join a forward-thinking tech company that values collaboration and creativity.
  • Benefits: Enjoy a competitive salary, flexible working, and generous leave options.
  • Other info: Flexible work arrangements and a commitment to diversity and inclusion.
  • Why this job: Shape the future of data architecture while making a real impact for clients.
  • Qualifications: Experience in enterprise 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.

Employment Type: Full-time, Permanent.

Location: UK wide.

Security Clearance Level: SC.

Salary: Up to £75,000.

Benefits: £5,400 car allowance, 25 days annual leave with the option to buy additional days, private medical, life assurance, pension, and generous flexible benefits fund.

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.

Diversity & Inclusion: 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.

Senior Data Architect: Enterprise Data Platforms Lead employer: Sopra Steria

As a Senior Data Architect at our company, you will thrive in a dynamic and collaborative professional services environment that prioritises employee growth and development. With the flexibility to work from anywhere in the UK, we offer a comprehensive benefits package, including a generous car allowance and private medical insurance, ensuring you can tailor your work-life balance to suit your needs. Join us to lead innovative data solutions while contributing to a diverse and inclusive culture that values creativity and teamwork.

Sopra Steria

Contact Details:

Sopra Steria Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Architect: Enterprise Data Platforms Lead

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 best data architecture projects. Use platforms like GitHub to share your code or design artefacts. This gives 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 your experience aligns with the role's requirements. Practice explaining complex concepts in simple terms – it shows you can communicate effectively with clients.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from candidates who are genuinely interested in joining our team and contributing to our data and AI community.

We think you need these skills to ace Senior Data Architect: Enterprise Data Platforms Lead

Enterprise Data Architecture
Solution Design
Data Engineering
Azure Data Lake Gen2
Azure Synapse Analytics
Microsoft Fabric
Snowflake

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with enterprise 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 Leadership Skills:Since this role involves leading teams, don’t forget to include examples of your leadership experience. Share stories about how you've directed data engineering teams or acted as a trusted advisor to clients. We love seeing how you’ve made an impact!

Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and structure your thoughts logically. We appreciate well-organised applications that make it easy for us to see your qualifications at a glance.

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 to do!

How to prepare for a job interview at Sopra Steria

Know Your Data Architecture Inside Out

Make sure you’re well-versed in enterprise and solution data architecture frameworks, especially The Open Group Architecture Framework. Be ready to discuss your hands-on experience with modern data platforms like Azure Data Lake Gen2 or Snowflake, as this will show your technical depth.

Showcase Your Leadership Skills

Since this role involves leading data engineering teams, prepare examples of how you've successfully managed teams in client-facing environments. Highlight your ability to coach others and improve standards, as this aligns perfectly with the collaborative culture they value.

Prepare for Technical Questions

Expect to dive deep into data integration and pipeline development tools like Azure Data Factory or Talend. Brush up on your advanced data modelling and querying skills using SQL and Python, as you may be asked to solve real-world problems during the interview.

Understand Their Business Needs

Research the company’s strategic digital solutions sector and think about how your expertise can help meet their clients' needs. Being able to articulate how you can contribute to reusable data platforms and governance solutions will set you apart as a candidate who truly understands their mission.