5.0 - 9.0 years

0 Lacs

karnataka

On-site

The Data Architect role requires a professional with strong organizational and communication skills. You will collaborate with the Client Architect to drive data architecture-related client workshops, internal meetings, and proposals. Your responsibilities will include a deep understanding of NiFi architecture and its components, as well as experience with data formats such as JSON, XML, and Avro. Knowledge of data protocols like HTTP, TCP, and Kafka will be essential for this role. You will be expected to coach and develop a Data strategy and vision for the larger team, providing subject matter training where necessary. Understanding of data governance principles, data quality, database design, data modeling, and Cloud architecture will be crucial. Familiarity with data governance and security best practices is also required. Additionally, knowledge of containerization and orchestration tools like Docker and Kubernetes will be beneficial. In this role, you will be responsible for creating high-level designs, data architecture, and data pipelines for Apache NiFi and the AI-NEXT platform. Ensuring database performance, data quality, integrity, and security will be key aspects of your duties. You will guide the team in solution implementation and collaborate with internal product architect, engineering, and security teams. Supporting the pre-sales team for Data Solution and optimizing NiFi workflows for performance, scalability, and reliability will also be part of your responsibilities. Furthermore, you will collaborate with cross-functional teams to integrate NiFi with other systems, including databases, APIs, cloud services, and other backend applications. Please note that EdgeVerve Systems does not engage with external manpower agencies or charge any fees from candidates for recruitment. If you encounter such scams, please report them immediately.,

Posted 20 hours ago

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.