Responsibilities
- Own and evolve the enterprise data architecture supporting operational, analytical, and AI workloads
- Design scalable data platforms for transactional databases, analytical data warehouses/lakehouses, and AI/ML data pipelines
- Define data models, integration standards, metadata management, and data lifecycle strategies
- Establish best practices for data engineering, architecture, performance optimization, scalability, reliability, and maintainability
- Evaluate and recommend emerging technologies and architectural improvements
- Design, develop, and optimize robust ETL/ELT pipelines for structured and unstructured data
- Build reliable batch and real-time data integration pipelines from EHRs, Practice Management Systems, APIs, flat files, and third-party healthcare applications
- Develop and optimize workflows using tools such as Apache NiFi or equivalent orchestration platforms
- Ensure high data quality, integrity, consistency, lineage, and observability across all data platforms
- Support relational, NoSQL, and distributed data platforms




- Design and maintain data platforms supporting Business Intelligence, advanced analytics, and machine learning workloads
- Build data pipelines that enable AI/ML model training, feature engineering, vector databases, Retrieval-Augmented Generation (RAG), and LLM/SLM applications
- Collaborate with Data Scientists and AI Engineers to operationalize ML models and AI solutions
- Support MLOps and data versioning best practices

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Qualifications/Criteri
- Bachelor’s degree in computer science, Software Engineering, or a related field.
- 10+ years of experience in Data Engineering, Data Platform Engineering, or Data Architecture.
- Minimum 5 years of experience working with US Healthcare data, preferably Revenue Cycle Management (RCM), Claims, EHR, or Healthcare Analytics.
- Equivalent practical experience with demonstrated technical leadership will also be considered.
- Proven experience designing enterprise-s

📌 Lead Data Engineer (India)
🏢 HealthRecon Connect
📍 India