This role involves designing, building, and maintaining scalable data processing systems and pipelines for CrowdStrike's Intelligence team. You will work closely with analysts and researchers to gather requirements, develop solutions, and ensure smooth operations in a fast-paced, distributed environment.
This role involves designing and validating integrations between partner technologies and the CrowdStrike Falcon Platform, providing technical sales support through demos and proof-of-value engagements, and enabling partners with training and documentation. The Solution Architect acts as a technical liaison to drive joint go-to-market initiatives across Europe, focusing on accelerating adoption and integration success within the cybersecurity ecosystem. A strong background in security platforms, API integrations, and AI-assisted development is central to the position.
This role involves designing and building data pipelines using Microsoft technologies like Azure Synapse Analytics, Azure Data Factory, and Fabric. You will work closely with stakeholders to deliver scalable data solutions, support advanced analytics, and stay up-to-date with emerging cloud and AI technologies.
This role involves architecting and evolving scalable data infrastructure to support decision-making in a fast-paced, analytics-focused environment at the intersection of sport and technology. You will lead technical design, mentor engineers, and work closely with cross-functional teams to deliver advanced data solutions and maintain data quality and security.
This role involves designing and implementing AI solutions to improve operational efficiency, defining LLM architecture, and building AI tools like assistants and workflow automation. You will work within an Azure cloud environment, applying MLOps and DevOps best practices, and collaborate closely with product teams and senior leadership.
This role involves full-stack development across mobile, cloud, and connected-device environments, with a focus on scaling a live product in a high-growth startup. You'll own backend services, enhance mobile applications, and support Bluetooth connectivity, working closely with founders and cross-functional teams. The position offers significant technical ownership and influence over architecture, engineering practices, and product evolution.
This role involves guiding enterprise clients in adopting Databricks' Customer Lake, an agentic Customer Data Platform built on the Lakehouse. The Solutions Architect will lead technical engagements, design data architectures, deliver demonstrations and POCs, and advise on identity resolution, audience activation, and AI-driven marketing workflows. The position requires deep expertise in CDPs, martech ecosystems, and cloud data platforms to drive customer success and product adoption.
This role involves leading a team of account executives in the Energy & Utilities sector, focusing on achieving sales quotas, expanding business, and delivering accurate sales forecasting. The position requires experience in high-growth enterprise software sales, particularly in the Data, AI, Cloud, or SaaS industries, and a strong network within the Energy sector.
This role involves building and managing trusted relationships with senior business and technology stakeholders, acting as the main point of contact for technical, service, and strategic matters. You will translate business requirements into clear conversations with consultants, developers, and data specialists, support ongoing projects, and help shape client technology roadmaps.
Design and demonstrate GPU-accelerated solutions leveraging NVIDIA and GCP technologies for enterprise and developer audiences. Support partners and customers in optimizing GenAI and machine learning workloads across training and inference pipelines. Collaborate with engineering and product teams to integrate NVIDIA platforms into hyperscaler environments, with a focus on real-world performance and scalability.
This role involves designing and demonstrating GPU-accelerated solutions on hyperscaler platforms, with a primary focus on Google Cloud (GCP), to support enterprise adoption of NVIDIA's Generative AI and machine learning technologies. The Solutions Architect will collaborate closely with developers, data scientists, and technical leaders to optimize training and inference pipelines, deliver proof-of-concepts, and integrate NVIDIA software and hardware into cloud-based AI workflows. A strong technical background in AI/ML systems and cloud infrastructure, along with the ability to translate complex challenges into scalable solutions, is central to the position.
This role involves automating and maintaining cloud infrastructure using Terraform and Azure DevOps. You will work on building reusable platform components, collaborating with various teams, and ensuring robust and reliable infrastructure solutions.
This role involves leading and contributing to the development of a cloud-based, data-oriented platform that positively impacts global sustainability. Responsibilities include guiding architecture decisions, collaborating with stakeholders, and ensuring high-quality cloud solutions using C# and modern .NET. The position offers a competitive salary, enhanced pension, and hybrid working.
This role involves designing and maintaining CI/CD pipelines, automating Azure-based infrastructure, and supporting cloud-native data platforms across a complex Azure environment. The engineer will implement Infrastructure as Code, drive DevOps best practices, and support Azure Data Platform services including Data Factory, Synapse Analytics, and Data Lake. Collaboration with engineering teams and mentoring within Agile delivery is a key part of the role.
This role involves end-to-end development and optimisation of data solutions, with a strong focus on DevOps practices and data engineering. The engineer will provide technical leadership, work across hybrid environments, and implement infrastructure as code and CI/CD pipelines using tools like Ansible and Terraform. Key responsibilities include system monitoring, containerisation, and supporting big data technologies such as Spark and Hadoop.
