Java Solution Architect

Job Title: Full Stack Java Architect – Sports/Health domain Data Processing

Location: Ahmedabad, Gujarat.

Job Type: Full-Time.

Job Description:

We are seeking an experienced Full Stack Java Architect to lead the design and development of our next-generation sports/health domain data processing platform. This platform will manage and process large volumes of real-time sports/health data, delivering actionable insights and seamless user experiences. As the Java Full Stack Architect, you will be responsible for end-to-end system design, ensuring performance, scalability, and data integrity across our data pipelines and user-facing applications.

Key Responsibilities:

• System Architecture and Design: Lead the design and architecture of an end-to-end sports data processing platform, capable of handling real-time sports data ingestion, processing, and distribution to frontend systems.
• Backend Development: Architect and develop scalable backend services using Java, Spring Boot, and microservices. Design APIs to manage data ingestion, storage, and querying, ensuring performance and scalability for large datasets.
• Data Pipeline Management: Build efficient, real-time and batch processing pipelines using technologies such as Apache Kafka, Spark, or Flink to process live sports data feeds from multiple sources.
• Frontend Development: Design and develop rich, responsive user interfaces using React.js, Angular, or Vue.jsthat visualize sports data in real-time.
• Database Design: Design and optimize relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases to manage structured and unstructured sports data, ensuring high performance.
• Data Integration: Integrate with third-party sports data providers (e.g., Sportradar, Opta), ensuring accurate and timely data processing.
• Real-Time Data Processing: Architect solutions to ingest, normalize, and distribute sports data to various endpoints, ensuring low-latency and accuracy in real-time updates.
• Collaborate with Stakeholders: Work closely with product managers, business analysts, and data engineers to understand project requirements and translate them into scalable, high-performance software solutions.
• Security and Data Integrity: Implement best practices in data security, ensuring the integrity and privacy of sensitive sports data across the platform.
• Continuous Improvement: Drive continuous improvement initiatives in system performance, scalability, and maintainability, while ensuring minimal system downtime.
• Team Leadership: Mentor and lead a team of developers, ensuring adherence to best coding practices, clean architecture principles, and effective project delivery.

Required Skills and Qualifications:

• 13+ years of experience in full-stack software development with a focus on Java.
• Proven experience in microservices architecture, using Spring Boot or similar frameworks.
• Expertise in designing and managing real-time data pipelines using technologies such as Apache Kafka, Flink, Spark, or RabbitMQ.
• Solid experience with JavaScript frameworks like React.js, Angular, or Vue.js.
• Strong background in RESTful API design and implementation.
• Experience in architecting and optimizing SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases for performance at scale.
• In-depth knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (e.g., Docker, Kubernetes).
• Proven experience working on real-time data systems in sports or similar domains (e.g., finance, telecommunications).
• Experience with CI/CD pipelines, automated testing, and deployment strategies.
• Understanding of data security, encryption, and compliance in handling sports data.
• Exceptional problem-solving skills with a focus on scalability, performance, and reliability.

Nice to Have:

• Experience working with sports data providers (e.g., Sportradar, Opta, Stats Perform).
• Familiarity with sports/health data analytics, statistical models, and predictive algorithms.
• Knowledge of machine learning and data science workflows in the sports industry.
• Experience in event-driven architecture and handling complex data models.

Education:

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or related technical field.

Job Types: Full-time, Permanent

Pay: ₹3,000,000.00 - ₹4,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Work Location: In person