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



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

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nQualifications/Criteria
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Bachelor’s degree in computer science, Software Engineering, or a related field.n
10+ years of experience in Data Engineering, Data Platform Engineering, or Data Architecture.n
Minimum 5 years of experience working with US Healthcare data, preferably Revenue Cycle Management (RCM), Claims, EHR, or Healthcare Analytics.n
Equivalent practical experience with demonstrated techni

📌 Lead Data Engineer Hubballi
🏢 HealthRecon Connect
📍 Hubballi