At a Glance
- Tasks: Design scalable data architectures and lead engineering teams in innovative payment solutions.
- Company: Join Worldpay, a leader in global payments, driving the economy forward.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team culture that values curiosity, accountability, and inclusivity.
- Why this job: Make a real impact on how millions pay every day with cutting-edge technology.
- Qualifications: Proven experience in data architecture and strong leadership skills required.
The predicted salary is between 60000 - 80000 £ per year.
Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. With proven technology, we process the largest volume of payments in the world, driving the global economy every day. When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day.
We’re looking for a Senior Data Architect to join our ever-evolving Merchant Solutions Development team to help us unleash the potential of every business. Are you ready to make your mark? Then you sound like a Worldpayer.
About The Team
Our Tech and Security teams keep us moving each day, no matter where we are in the world. From the hardware to the networks and everything between, they humbly make it all happen. As a Senior Data Architect, you’ll help design the foundation for how our payments platforms perform and scale across a complex data environment. Your expertise will influence the architecture of critical data systems and workflows of a payments processing ~14 billion payments annually across 174 countries.
You will provide system designs and governance across the data architecture landscape, and build solutions across the acquiring domain as it expands in capabilities to handle real-time data processing, data localisation legislation, and large-scale data processing. You will be working as part of a team of system architects defining the platform architecture across multiple domains within an acquiring landscape with global scope, building end-to-end solutions and architectural patterns to ensure the platform can perform at scale.
What You’ll Own
- Lead the design of scalable, resilient, and high-performance data architectures that meet strategic business objectives.
- Document and communicate architecture roadmaps and designs to business and technical audiences.
- Provide solution design leadership to engineering teams and accountability across data architectures in multiple domains.
- Establish and maintain a library of reusable functional component models for Global Payments product lines.
- Build highly scalable services in hybrid cloud environments, leveraging modern-day design patterns including event-driven system design.
- Standardise architecture documentation and apply technology governance around platform architectural patterns.
- Explore new business domains and provide architectural oversight to impact on existing platform capabilities.
- Support audit and compliance requirements such as encryption, security, and data retention.
What You Bring
- Proven experience as a data architect with a track record of designing and implementing complex data architecture solutions in enterprise environments.
- Expertise in data modelling, database design and data warehousing concepts.
- Proficiency in relational and noSQL databases.
- Experience of data governance and data quality management.
- Excellent analytical, problem-solving and decision-making skills.
- Effective communication and interpersonal skills with the ability to collaborate with diverse stakeholders and drive consensus.
- Proven leadership abilities.
- Expertise with end-to-end systems development life cycles and a background leading large projects.
- A bachelor’s in computer science or engineering, or the equivalent experience – post-graduate education desired.
- Curious – You ask the right questions, listening and learning to get better every day.
- Accountable – You never stand still, never settle. You work at pace to achieve your goals.
- Inclusive - You collaborate, encouraging others to perform at their best, always welcoming new perspectives.
What Makes a Worldpayer
What makes a Worldpayer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open – winning and failing as one. Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career.
Senior Data Architect in London employer: Vantiv, Inc.
At Worldpay, we pride ourselves on being a leading employer in the payments industry, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Data Architect, you will have the opportunity to shape the future of payment processing while enjoying comprehensive benefits, professional development opportunities, and a supportive environment that values diversity and inclusion. Join us in our global mission to simplify payments for millions, and be part of a team that encourages curiosity and accountability in every project.
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We think this is how you could land Senior Data Architect in London
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We think you need these skills to ace Senior Data Architect in London
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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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✨Brush Up on Your Statistics
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✨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.
