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- Tasks: Lead the design and development of our Big Data platform with a focus on innovation.
- Company: Join Confiz, a vibrant tech company with a culture of collaboration and learning.
- Benefits: Competitive salary, travel opportunities, and a fun workplace culture.
- Why this job: Make an impact in the Big Data field while working with cutting-edge technologies.
- Qualifications: 14 years of experience in data architecture and team leadership required.
- Other info: Be part of a dynamic team of 700+ working on innovative projects for top-tier clients.
The predicted salary is between 43200 - 72000 £ per year.
We seek an experienced Big Data expert to lead our Big Data platform's design, development, and maintenance. Collaborating with data engineers and Big Data Business Analysts across various platform layers, you'll demonstrate a commitment to collaborative problem-solving, sophisticated design, and delivering high-quality products.
Responsibilities:
- Facilitate and lead the roadmap and enhancements for the enterprise Big Data platform.
- Lead Data Engineers, Business Analysts, and BI engineers to architect and deliver the solutions that fulfil the Business information needs.
- Ensure the design, code, and procedural aspects of the solution are production-ready, in terms of operational, security, and compliance standards.
- Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.
- Yearning for continuous learning and training/mentoring future big data developers and architects.
- Design and implement scalable, near real-time data ingestion pipelines to enable low-latency data processing and analytics.
- Architect and optimize data streaming solutions to handle high-throughput, distributed systems while ensuring data consistency, reliability, and fault tolerance in near real-time workflows.
Qualifications:
- 14 years of experience in enterprise data architecture, integration, and analytics, with a proven track record of design and implementation of big data and analytics solutions in recent years.
- Experience in leading a team of Data Engineers and BI Developers.
- Bachelor’s degree in computer science or relevant field from an accredited college or university; Master’s degree from an accredited college or university preferred.
- Strong technical experience in the following:
- Big data stack and solutions, including cloud technologies.
- Data lake architecture, including data model design and implementation (incl. relational, dimensional, and No-SQL).
- Enterprise Application and Data Integration design and implementation (e.g. ETL, messaging, replication, and APIs).
We have an amazing team of 700+ individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
Big Data Architect in London employer: Confiz Limited
Contact Detail:
Confiz Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Architect in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to Big Data. You never know who might have the inside scoop on job openings or can refer you directly.
✨Show Off Your Skills
Create a portfolio showcasing your Big Data projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to demonstrate your expertise and creativity!
✨Ace the Interview
Prepare for technical interviews by brushing up on key concepts and practicing problem-solving scenarios. Don’t forget to also prepare questions to ask your interviewers about their Big Data challenges and team culture.
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that Big Data Architect role. We love seeing candidates who are proactive and genuinely interested in joining our amazing team!
We think you need these skills to ace Big Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Big Data Architect role. Highlight your experience with big data solutions, cloud technologies, and team leadership. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about big data and how you can contribute to our team. We love seeing enthusiasm and a personal touch.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include specific examples of your work with data ingestion pipelines or data lake architecture. We appreciate concrete evidence of your expertise.
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 Confiz Limited
✨Know Your Big Data Stuff
Make sure you brush up on your knowledge of big data technologies and architectures. Be ready to discuss your experience with cloud solutions, data lakes, and ETL processes. The more specific examples you can provide about your past projects, the better!
✨Show Off Your Leadership Skills
Since this role involves leading teams, be prepared to share your experiences in managing Data Engineers and BI Developers. Talk about how you've facilitated collaboration and problem-solving in your previous roles. Highlight any mentoring or training you've done for junior team members.
✨Understand the Company Culture
Familiarise yourself with the company’s values and culture. They emphasise a vibrant learning environment and fun workplace. Think of ways you can contribute to this culture and be ready to discuss how you align with their focus on processes and innovation.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of data streaming solutions and real-time data processing. Brush up on your knowledge of tools like Azure Data Factory and Apache NiFi. Practising common interview questions related to these technologies will help you feel more confident.
