Sr Flink Solution Architect

Role name: Sr Flink Solution Architect Work site: Reading (Remote) Start date: Immediate availability. Must required skills: Flink 10+ years Java Preffered: Python Kubernetes Responsibilities: This not a lead role, they are solutioning positions. Highly technical role, doing architecture Make sure you include in the summary the experience in FLINK, same as in the job experience. • Solution Design: Design and architect end-to-end big data solutions, including data ingestion, storage, processing, and analytics components, to meet business requirements and performance objectives. • Technology Evaluation: Evaluate and recommend appropriate big data technologies, platforms, and frameworks based on business needs, technical requirements, and industry best practices. • Data Integration: Design data integration pipelines and workflows to ingest data from multiple sources, including databases, data warehouses, streaming platforms, and external APIs. • Scalability and Reliability: Architect highly scalable and fault-tolerant big data architectures that can handle large volumes of data, support concurrent user access, and maintain high availability. • Documentation and Communication: Create technical documentation, architecture diagrams, and solution blueprints to communicate design decisions, best practices, and implementation guidelines to stakeholders and project teams. • Conceptualize, architect, and communicate the Solution architecture and roadmap. • Act as a bridge between various technology groups: Data Architecture, Platform Architecture, Information Security, and Data Architecture. • Guide software development and infrastructure engineering teams to adopt Cloud, hybrid, and on-premises cloud-native architecture. • Conduct evaluations of competing technologies and provide well-informed recommendations. • Identify areas for improvement and recommend adaptation roadmaps. • Architect, construct, and oversee an efficient data platform utilizing modern, low/no code cloud technologies (AWS), interfacing with existing data services and storages. • Mentor junior platform engineers, data engineers, developers, and operators, championing best practices and well-architected infrastructure. • Define productivity strategies on Kubernetes for container orchestration in a cloud environment. • Develop strategies for legacy modernization and cloud adoption for existing solutions. • Establish operationalization standards for supporting Cloud-based architecture. • Collaborate to evolve a sophisticated data model, collaborating with executives, engineers, product managers, scientists, and partners to harness structured data from diverse source systems. • Advocate and educate engineering team members on software design principles, standards, and best practices. • Leverage external engagements as needed to expedite projects. Qualifications: • Bachelor's degree in computer science, Engineering, or related field or 10+ years of experience in IT. Candidates with lesser experience will be considered if they have exemplary proven accomplishments. • Deep understanding of Kafka Streams, Flink is a MUST • Hands on expertise with recent versions of Java is a MUST • Experience with Python ecosystem is preferred. • Experience with server-side programming languages is REQUIRED • Good understanding and application of EAI patterns • MUST have 5+ years hands-on experience in designing and architecting highly available, resilient and performant systems. • MUST be able to articulate design tradeoffs, technology choices to executive leadership • A strong hands-on expertise with Kubernetes and associated technologies is preferred. • Strong familiarity with Cloud native development patterns, and hands-on software development experience in Java, Spring stacks. • Substantial in-depth (10+ years) experience in data storage technologies (RDBMS, MYSQL, Postgres, S3), including robust expertise in application, data, and infrastructure architecture disciplines is preferred but not required • Experience in applying data authorization standards. • Experience with CI/CD practices. • Experience in the full Software Development Lifecycle and Agile methodology • Excellent communication, presentation, and problem-solving skill.