Solution Architect-Data Platforms

IntroductionA career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.Your role and responsibilitiesAs a seasoned Solution Architect specializing in Data Platforms, you design end-to-end Big Data Solutions across various platforms, leveraging your extensive experience in managing large data repositories. You possess a deep understanding of industry standards, best practices, and key technologies such as the HADOOP Framework and Cloud native platforms.Design End-to-End Solutions: Create tailored data solutions for clients, utilizing Cloud and traditional data platform offerings, and oversee the architecture for data platform and cognitive components.Develop Data Strategies: Leverage expertise in managing large data repositories to develop effective data management strategies, incorporating industry standards and best practices.Oversee Architecture: Guide the architecture for data platform and cognitive components, including unstructured data technologies, annotation, and related data and analytics.Collaborate with Clients: Work closely with clients to understand their needs and deliver customized data solutions that meet their requirements.Drive Technical Excellence: Stay up-to-date with emerging trends and technologies, applying deep expertise in data platforms to drive technical excellence and innovation.Required technical and professional expertiseData Platform ArchitectureProven experience designing and delivering end-to-end Big Data solutions across multiple platformsExtensive experience managing large-scale data repositories (terabyte scale or larger)Cloud & Cloud-Native ExpertiseStrong experience with one or more cloud platforms: AWS, Azure, Google Cloud, IBM CloudExperience with cloud-native data platforms such as SnowflakeSolid understanding of containerized data platforms and data on OpenShiftHadoop & Big Data EcosystemDeep expertise in the Hadoop framework, ecosystem, and MapReduce conceptsStrong understanding of distributed data processing patterns and architecturesStreaming & KafkaHands-on experience designing and operating Kafka-based data streaming platformsStrong understanding of Kafka components including topics, partitions, replication, Access Controls (ACLs), Zookeeper, and Schema RegistryFamiliarity with Confluent Kafka is requiredSoftware Engineering & APIsStrong hands-on experience with Java and Spring BootExperience building and consuming RESTful APIsAbility to write comprehensive unit and integration testsMicroservices & CNCFSolid understanding of microservices architecture and design principlesStrong knowledge of CNCF concepts, containers, Docker, and Kubernetes fundamentalsDevOps & CI/CDPractical experience with CI/CD pipelines, containerization, and automated deploymentsAbility to troubleshoot performance, data flow, and operational issues in production systemsDelivery & Ways of WorkingExperience working in Agile delivery environmentsStrong collaboration, communication, and technical leadership skillsPreferred technical and professional experienceCloud Native Platform Expertise: Experience with Cloud native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud Native data platforms like Snowflake, with the ability to leverage these platforms to create tailored data solutions.HADOOP Framework Knowledge: Deep understanding of the HADOOP Framework, Ecosystem, MapReduce, and Data on Containers (data in OpenShift), with the ability to apply this knowledge to design end-to-end Big Data Solutions.Unstructured Data Technology Understanding: Strong understanding of unstructured data technologies, annotation, and related data and analytics, with the ability to guide the architecture for data platform and cognitive components.Experience with enterprise integration and industry frameworks, including BIAN (preferred)Prior experience supporting production systems and participating in operational/on-call rotationExposure to: Data governance, metadata management, and data quality frameworksAI/ML data pipelines and cognitive analytics enablementExperience working with financial services, regulated industries, or large enterprise platformsConsulting or client-facing experience with the ability to present architecture and technical trade-offs clearlyIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.J-18808-Ljbffr