Solutions Architect - Big Data and DevOps (f/m/d) Join to apply for the Solutions Architect - Big Data and DevOps (f/m/d) role at Stackable Solutions Architect - Big Data and DevOps (f/m/d) 2 days ago Be among the first 25 applicants Join to apply for the Solutions Architect - Big Data and DevOps (f/m/d) role at Stackable stackable - who are we?

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. Stackable is an innovative technology company focused on delivering cutting-edge, open source Big Data solutions for data lakehouses, data mesh, event processing and AI. We specialise in designing, deploying, and managing scalable data infrastructures 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. Your mission at stackable: We are looking for a skilled You will architect and implement Stackable Data Platform solutions, ensuring scalability, reliability, and security. You will develop and maintain Kubernetes-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.

stackable - who are we? Stackable is an innovative technology company focused on delivering cutting-edge, open source Big Data solutions for data lakehouses, data mesh, event processing and AI. We specialise in designing, deploying, and managing scalable data infrastructures 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. Your mission at stackable: We are looking for a skilled Solutions Architect with a strong background in Big Data to join our 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 implement Stackable Data Platform solutions, ensuring scalability, reliability, and security. You will develop and maintain Kubernetes-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.

Why you should join us: 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)

What do you offer? 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-prem environments. Fluent English skills Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesIT Services and IT Consulting Referrals increase your chances of interviewing at Stackable by 2x Sign in to set job alerts for Solutions Architect roles. London, England, United Kingdom 1 month ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago Solutions Architect Manager, Google Cloud London, England, United Kingdom 1 week ago London, England, United Kingdom 3 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 days ago London, England, United Kingdom 1 week ago City Of London, England, United Kingdom 1 month ago London, England, United Kingdom 1 week ago Senior Technical Architect (up to 79,773) London, England, United Kingdom 1 week ago Senior Solutions Architect (m/f/d) - EMEA London, England, United Kingdom 1 month ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 months ago London Area, United Kingdom 50,000.00-90,000.00 1 month ago London, England, United Kingdom 5 months ago London, England, United Kingdom 3 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 months ago London, England, United Kingdom 2 weeks ago Solutions Architect, Enterprise Services - Financial Solutions London, England, United Kingdom 6 days ago Ilford, England, United Kingdom 1 month ago Solutions Architect (Contract 800-1000/day - Credit Card) London, England, United Kingdom 2 months ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 day ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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