Senior Full Stack Java Developer

InDev is seeking a Senior Full Stack Developer (Java) with Collibra Experience with 10+ years of experience designing, building, and optimizing scalable solutions that power enterprise data governance and metadata management with JAVA and Collibra. This role combines hands‑on full stack application development with advanced integration of Collibra APIs, workflows, and Edge Server–based ingestion pipelines. The ideal candidate will be adept at creating modern web interfaces, developing high‑performance backend services, automating metadata and lineage processes, and ensuring secure, efficient data ingestion across diverse systems.

Working in close collaboration with data governance, architecture, and engineering teams, this developer will play a critical role in advancing the data ecosystem through automation, innovation, and best‑in‑class engineering practices.

• Application Development & Integration
  • Design and develop end‑to‑end Java‑based web applications that integrate with Collibra and Edge Servers.
  • Build RESTful APIs and microservices using Java (Spring Boot, Quarkus, or similar frameworks) to interact with Collibra APIs.
  • Develop user‑friendly UI components in React, Angular, or Vue.js for data governance dashboards.
• Collibra API, Edge Server & Workflow Automation
  • Customize and extend Collibra workflows using BPMN (Camunda or similar process orchestrator engines).
  • Utilize Collibra APIs, Java SDK, and Edge Servers to automate data ingestion, metadata management, and governance processes.
  • Develop custom connectors and pipelines for ingesting metadata and structured/unstructured data into Collibra via Edge Servers.
  • Enable real‑time and batch data processing for metadata updates and lineage tracking.
• Data Ingestion via Edge Server
  • Configure and optimize Collibra Edge Servers for secure, efficient data ingestion from multiple sources (databases, cloud storage, and enterprise applications).
  • Develop ETL/ELT pipelines for metadata extraction, transformation, and loading (e.g., using Apache Kafka, Apache NiFi, or AWS Glue).
  • Implement event‑driven data ingestion with message queues (Rabbit
    
    MQ, Kafka) to process data efficiently.
• Data Governance & Metadata Management
  • Work closely with Data Architects and Data Stewards to ensure proper metadata integration and governance automation in Collibra.
  • Automate metadata ingestion and data lineage tracking using Edge Server and Collibra API.
  • Support data classification, tagging, and cataloging to enhance data discoverability.
• Performance Optimization & Security
  • Optimize backend services for scalability, performance, and security.
  • Implement authentication and authorization mechanisms (OAuth, SAML, LDAP) for secure access.
  • Ensure compliance with data privacy regulations (GDPR, CCPA, FedRAMP, etc.) while handling data ingestion.
• Collaboration & Agile Development
  • Work in Agile (Scrum/Kanban) teams with Dev Ops and CI/CD pipelines (Jenkins, Git Hub Actions, AWS Code Pipeline).
  • Provide technical guidance on best practices for integrating Edge Server with Collibra.
  • Collaborate with CDO, Data Governance, and Engineering teams to improve data quality, ingestion efficiency, and metadata management.
• Automation & AI Integration
  • Leverage AI/ML capabilities within Collibra for data quality monitoring and anomaly detection.
  • Automate metadata ingestion, data lineage, and governance processes to improve efficiency.

• Bachelor’s degree in computer science, Information Systems, Engineering, or a related discipline from an accredited college, university, or academic institution in the United States.
• 10+ years of full stack development experience, including building enterprise‑grade web applications.
• Proven experience with Collibra (APIs, Java SDK, workflows, integrations) and configuring Collibra Edge Servers.
• Strong background in RESTful API and microservice development.
• Experience building ETL/ELT pipelines and working with tools such as Kafka, NiFi, or AWS Glue.
• Familiarity with event‑driven architectures and message queues (Kafka, Rabbit
  
  MQ).
• Solid understanding of metadata management, data governance, and data lineage.
• Experience implementing…