At a Glance
- Tasks: Design and deliver cutting-edge data platforms for gaming and sportsbook applications.
- Company: Join Flutter, a leader in the gaming industry with a collaborative culture.
- Benefits: Enjoy uncapped holiday, private healthcare, and a £1,000 learning fund.
- Other info: Hybrid role with excellent career growth opportunities and a focus on innovation.
- Why this job: Shape the future of data solutions and make a real impact in a dynamic environment.
- Qualifications: Expertise in distributed data platforms and experience with cloud-native solutions required.
The predicted salary is between 80000 - 100000 £ per year.
Location – Leeds/Dublin/London. Hybrid. Permanent.
About the Role
In Flutter COO we work with experts across Flutter to build, deploy and communicate the Flutter Edge. We cover Product & Payments, Technology, Sportsbook Product & Trading, People, Property, Corporate Communications and Strategic Partnerships & Transformation. We are seeking a Principal Data Solution Architect to design and deliver distributed data platforms that power Flutter’s applications across Gaming and Sportsbook. The role is focused on execution and solutions delivery – building scalable, high‑performance data platforms that enable real‑time and batch data processing at scale.
Responsibilities
- Drive platform capability improvements – continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best‑in‑class capabilities.
- Enable application data consumption – understand how applications produce and consume data, designing solutions that enable efficient data access patterns, real‑time streaming, and batch processing for application needs.
- Architect data streaming solutions – design and implement real‑time data streaming architectures using Kafka and Pulsar, ensuring low‑latency data delivery to downstream applications and services.
- Design distributed data structures – work with engineering teams to design effective data structures for distributed systems like Cassandra, optimizing for read/write patterns, scalability, and performance.
- Deliver cloud‑native data solutions – architect and implement data platforms on AWS leveraging cloud native services, Databricks, object stores (S3), and distributed compute frameworks.
- Provide technical leadership and mentoring – mentor engineers and architects on distributed data platform patterns, helping teams deliver robust solutions and grow their technical capabilities.
- Develop executable roadmaps – create pragmatic technology roadmaps that deliver near‑term business value while progressing toward target state architectures for distributed data platforms.
- Partner with engineering teams – build strong relationships with engineering teams across Gaming and Sportsbook, understanding their data needs and translating them into scalable platform solutions.
- Design solutions for projects – deliver ADRs, data models, technical designs, and assessments to support delivery of business goals, working with engineering teams to bring solutions to life.
- Influence technical strategy – shape the technical direction of data platforms, considering future application requirements and emerging technologies in distributed systems and data streaming.
- Manage technology risk – identify, communicate, and mitigate technology risks associated with distributed systems, data platform decisions, and system integrations.
- Ensure operational excellence – design solutions with security, cost optimisation, performance, regulatory requirements, and compliance in mind.
- Contribute to architecture governance – support architecture forums and governance processes, ensuring timely review and alignment across Flutter.
Requirements
- Distributed data platforms expertise – extensive experience designing and implementing distributed data platforms at scale, with deep understanding of distributed systems principles and trade‑offs.
- Data streaming architecture – proven track record architecting and implementing real‑time / low‑latency data streaming platforms including patterns for event‑driven architectures.
- OLTP, NoSQL and distributed databases – experience with Cassandra or similar distributed databases, understanding data structures, partitioning strategies, consistency models, and performance optimisation, as well as OLTP databases such as PostgreSQL and MySQL.
- Distributed compute frameworks – strong experience with Apache Spark and distributed data processing, including optimisation, performance tuning, and large‑scale batch/streaming workloads.
- Cloud‑native data platforms – demonstrated experience with any Cloud Providers such as AWS, GCP, Azure, including Databricks.
- Application‑aware data architecture – strong understanding of how applications produce and consume data, designing platforms that serve application needs efficiently across real‑time and batch use cases.
- Large‑scale platform delivery – track record of delivering large‑scale data platforms for high‑volume B2C software businesses, preferably in Gaming, Sportsbook, or similar real‑time domains.
- Data transformation experience – demonstrated experience contributing to data modernisation and migration initiatives and ability to drive a data‑first approach within the organisation.
- Solutions delivery focus – proven ability to execute and deliver practical solutions, working closely with engineering teams to bring architectures to life.
- ML/AI platform enablement – demonstrated experience productionising data science and ML/AI capabilities through the data lifecycle, including feature stores, training pipelines, model serving patterns, and data platforms that enable ML at scale.
- Regulatory & compliance experience – designed and implemented compliant data solutions across regulated environments (PCI/SOX/HIPAA), ensuring adherence to industry standards and data protection requirements.
Benefits
- Bonus scheme
- Uncapped holiday allowance
- Enhanced pension scheme
- Private healthcare
- Life assurance
- Income protection
- £1,000 annual self‑development learning fund
- Invest via the Flutters Sharesave Scheme
- Enhanced parental leave
Principal Data Solution Architect in Leeds employer: Betfair Ltd
At Flutter, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid work model allows for flexibility while our commitment to employee growth is evident through initiatives like the £1,000 annual self-development learning fund and enhanced parental leave. With a focus on cutting-edge technology and a supportive environment, we empower our team members to thrive in their careers while contributing to the exciting world of gaming and sportsbook.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Solution Architect in Leeds
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and achievements. This is your chance to demonstrate your expertise in distributed data platforms and real-time data streaming. Let your work speak for itself!
✨Tip Number 3
Prepare for those interviews! Research common questions related to data architecture and be ready to discuss your experience with tools like Spark, Kafka, and AWS. Practice articulating how you’ve tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to highlight your relevant experience and passion for data solutions.
We think you need these skills to ace Principal Data Solution Architect in Leeds
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Principal Data Solution Architect role. Highlight your experience with distributed data platforms and any relevant technologies like Spark, Kafka, or AWS. We want to see how your skills align with what we're looking for!
Showcase Your Achievements:Don’t just list your responsibilities; share specific achievements that demonstrate your expertise in data architecture and solutions delivery. Use metrics where possible to show the impact of your work. This helps us understand the value you can bring to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. Avoid jargon unless it's relevant to the role. We appreciate straightforward communication, so make sure your passion for data solutions shines through without unnecessary fluff!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Betfair Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Spark, Kafka, and Cassandra. Prepare to discuss your past experiences with these tools and how you've used them to build scalable data platforms.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about how you would approach designing a distributed data architecture or solving a data streaming issue. This will demonstrate your ability to think critically and apply your knowledge practically.
✨Communicate Clearly
Since this role involves mentoring and collaborating with engineering teams, practice explaining complex concepts in simple terms. Clear communication is key, so be prepared to articulate your ideas and solutions effectively.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data challenges or future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
