Description

What You Will Do:

Designs, develops, refactors, tests, and maintains full-stack applications and framework components.
Builds backend services, APIs, and integration layers that support Data Plane and data governance capabilities.
Develops frontend features using React and TypeScript for enterprise-scale, data-intensive user experiences.
Designs and supports Kafka/Confluent-based event-driven workflows and streaming integrations.
Collaborates with architects and product teams on core functionality, technical designs, and implementation plans.
Supports data governance use cases such as cataloging, lineage, quality, lifecycle management, consent, and masking.
Contributes to platform capabilities that support Data Plane and broader enterprise data initiatives.
Participates in code reviews, technical design discussions, estimation, and continuous improvement of engineering practices.
What You Will Need to Succeed:

Strong full-stack development experience with React/TypeScript and strong backend development experience using one or more modern server-side technologies such as Java, .NET, or equivalent.
Strong hands-on experience with Kafka/Confluent, event-driven architecture, REST APIs, JSON, and data integration patterns.
Knowledge of SQL databases, Azure cloud services, CI/CD, Git, and modern software delivery practices.
Ability to build scalable, secure, and maintainable enterprise SaaS applications.
Exposure to data governance, Snowflake, CDC, data pipelines, or lakehouse technologies is preferred.
Nice to have: Experience using code generation tools or AI-assisted development tools as part of the product development lifecycle (PDLC).
Familiarity with data-intensive platforms, metadata-driven applications, or analytics-oriented product capabilities is a plus.
Qualifications:

5+ years of applicable full-stack software development experience.
2+ years of specialized experience with Kafka/Confluent, distributed systems, data integration, or cloud-native applications.
Bachelor’s degree or equivalent experience.
Experience building data-intensive applications for governance, analytics, metadata management, or enterprise platforms is preferred.
 

Key Skills

Education

Any Graduate