Technology Architect-Kafka, Confluent cloud and Data Integration-UK

In the role of a Data Integration Architect, you will drive the design, implementation, and optimization of enterprise‑grade data integration solutions, with a strong focus on real‑time streaming and cloud‑native platforms. You will lead initiatives involving Apache Kafka and Confluent Cloud, enabling scalable, event‑driven architectures that support high‑throughput, low‑latency data movement across systems. You will anchor engagements from requirement gathering and solution architecture to development and deployment, ensuring seamless integration between diverse data sources and targets. Your expertise will guide teams in stream processing, schema evolution, and integration with cloud platforms and enterprise data lakes. As a senior integration specialist, you will collaborate with cross‑functional teams to define integration strategies, enforce data governance, and ensure platform reliability and security. You will also contribute hands‑on to building and maintaining robust data pipelines, resolving production issues, and optimizing performance. You will participate in architecture reviews, mentor junior engineers, and promote best practices in data integration, streaming technologies, and cloud‑native development. Your leadership will be key in enabling organizations to unlock the value of real‑time data, improve operational efficiency, and accelerate digital transformation. Responsibilities Act as the primary technical owner for Kafka and Confluent Cloud implementations. Design, configure, and maintain Kafka clusters, topics, and streaming pipelines. Ensure secure, reliable, and scalable data onboarding from various sources to both on‑prem and cloud environments. Develop and optimize SQL queries for data validation, transformation, and integration. Data engineering capabilities using any of the ETL tools Fivetran, Snowflake, Azure Data Factory, or SSIS. Troubleshoot and resolve issues related to data ingestion and streaming performance. Serve as the go‑to expert for all Kafka and Confluent‑related queries and solutions. Collaborate with data engineering teams, architects, and business stakeholders to define onboarding strategies. Provide technical guidance and best practices for event‑driven architectures. Conduct knowledge‑sharing sessions and mentor team members on streaming technologies. Oversee daily operations for data onboarding and streaming pipelines. Implement monitoring and alerting mechanisms for proactive issue resolution. Ensure compliance with data governance, security, and regulatory standards. Qualifications 5+ years of experience in Kafka and Confluent Cloud implementations. Strong proficiency in SQL for data analysis and integration. Hands‑on experience with data onboarding in hybrid environments (on‑prem & cloud). Excellent problem‑solving, communication, and stakeholder‑management skills. Familiarity with event‑driven architecture and streaming best practices. Preferred Experience with Fivetran, SSIS, Azure Data Factory, or Snowflake technologies. Knowledge of ETL processes, data warehousing, and cloud data platforms. Exposure to Azure for cloud‑based data solutions. Personal Attributes High analytical skills. High customer orientation. High quality awareness. Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. Our approach empowers businesses with an AI‑powered core that prioritizes change execution while delivering unprecedented levels of performance and customer delight. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer. #J-18808-Ljbffr