At a Glance
- Tasks: Design and implement cutting-edge Big Data solutions for clients using open source technologies.
- Company: Join Stackable, an innovative tech company revolutionising data management.
- Benefits: Flexible remote work, diverse training opportunities, and a supportive team culture.
- Other info: Work with an international team and enjoy excellent career growth prospects.
- Why this job: Shape the future of open source data solutions in a collaborative environment.
- Qualifications: Experience with Big Data technologies and DevOps practices is essential.
The predicted salary is between 48000 - 72000 £ per year.
Stackable is an innovative technology company focused on delivering cutting-edge, opensource Big Data solutions for data lakehouses, data mesh, event processing and AI. We specialise in designing, deploying, and managing scalable datainfrastructures that empower businesses to harness the power of data effectively. Our core product, the Stackable Data Platform, enables companies of all sizes to easily integrate and manage their sovereign data platforms in their respective IT infrastructure.
We are looking for a skilled Solutions Architect with a strong background in Big Data to joinour team. The ideal candidate will have expertise in open source Big Data technologies and Kubernetes and DevOps practices. This role will be instrumental in designing, implementing, and optimizing cloud-based and on-premise data solutions for our clients.
- You will architect and implementStackable Data Platform solutions, ensuring scalability, reliability, and security.
- You will develop and maintainKubernetes-based infrastructures to support data processing and analytics workloads.
- You will design and deploy CI/CD pipelines, infrastructure automation, and monitoring solutions.
- You will work closely with clients and internal teams to translate business requirements into technical solutions.
- You will ensure best practices in DevOps, infrastructure as code, and security. Collaborate with cross-functional teams, including data engineers, software developers,and enterprise architects.
- Collaboration with an international team based in UK and Germany
- Working either remote or onsite with our customers from UK
- A technology-focused start-up culture
- Choice of development tools
- The chance to shape a sustainable and future-oriented open source product
- Our engineering mindset: our aim is make bring architectures and software available in the most automated, maintainable and robust way possible!
- Diverse training opportunities and social benefits (e.g. UK pension schema)
- Strong hands-on experience working with modern Big Data technologies such as Apache Spark, Trino, Apache Kafka, Apache Hadoop, Apache HBase, Apache Nifi, Apache Airflow, Opensearch
- Proficiency in cloud-native technologies such as containerization and Kubernetes
- Strong knowledge of DevOps tools (Terraform, Ansible, ArgoCD, GitOps, etc.)
- Proficiency in software development using Rust (ideally), Java, or Python
- Experience with Solution Architecture and designing enterprise-grade data platforms
- Understanding of networking, security, and access controls in on-premenvironments.
Solutions Architect - Big Data and DevOps (f/m/d) employer: Stackable
Stackable is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to work alongside an international team from the UK and Germany. With a strong focus on technology and open-source solutions, employees benefit from diverse training opportunities, flexible working arrangements, and the chance to contribute to a sustainable product that shapes the future of data management. Join us to enhance your skills in a supportive environment that prioritises professional growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Architect - Big Data and DevOps (f/m/d)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Stackable employees on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to Big Data and DevOps. This gives us a tangible way to see what you can do beyond the application.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. We love candidates who can think on their feet and demonstrate their expertise in real-time.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Stackable.
We think you need these skills to ace Solutions Architect - Big Data and DevOps (f/m/d)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Solutions Architect role. Highlight your expertise in Big Data technologies and DevOps practices, as these are key for us at Stackable.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about Big Data and how your background aligns with our mission. Be specific about your experience with open source technologies and Kubernetes.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Share examples of how you've designed and implemented data solutions. This gives us insight into your hands-on experience and problem-solving skills.
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 shows your enthusiasm for joining our team!
How to prepare for a job interview at Stackable
✨Know Your Tech Stack
Make sure you’re well-versed in the specific Big Data technologies mentioned in the job description, like Apache Spark and Kubernetes. Brush up on your knowledge of how these tools work together to create scalable data solutions, as you’ll likely be asked to discuss your experience with them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about specific projects where you designed or optimised data solutions, and be ready to explain your thought process and the impact of your work.
✨Understand DevOps Practices
Since this role involves a strong focus on DevOps, make sure you can discuss your experience with CI/CD pipelines and infrastructure automation. Be prepared to talk about tools like Terraform and Ansible, and how you’ve used them to improve deployment processes.
✨Communicate Effectively
As you'll be collaborating with cross-functional teams, practice explaining technical concepts in a way that’s easy for non-technical stakeholders to understand. This will demonstrate your ability to translate business requirements into technical solutions, which is key for this role.
