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Senior, niche healthcare data-architecture role in metro Hyderabad with moderate brand recognition limits applicant density.
Strong healthcare interoperability and compliance requirements (HIPAA, FHIR) make cross-industry transfers difficult.
Explicit 12+ years, HIPAA/FHIR and AWS/data-platform mandates make filters highly strict.
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Own the enterprise data lakehouse architecture, including standards, governance, and strategy focusing on healthcare data products.
Define and govern a global Enterprise Ontology and universal semantic layer to unify complex metrics and healthcare business entities across products.
Leverage AI-native development tools to prototype, validate, and implement advanced data schemas while ensuring regulatory compliance (HIPAA, FHIR) and security integration.
12+ years of deep data engineering experience with roles at Staff, Principal, or Architect level.
Proficiency in Python, SQL, AI tools, and multiple data modeling paradigms including Relational, Dimensional, Data Vault 2.0, and Graph/Ontological.
Expertise in healthcare interoperability standards (FHIR, HL7) and proven experience architecting HIPAA-compliant data platforms.
Strong knowledge of AWS data services (S3, Glue, Athena, Redshift, Lake Formation) and data pipeline orchestration frameworks like dbt and Airflow.
Experienced in handling complex semantic and ontological data models with a focus on healthcare domain data and compliance frameworks.
Capable of translating complex architectural concepts into executive-level business value and leading cross-functional collaboration.
Comfortable working with modern data lakehouse architectures and AI-native prototyping environments to innovate next-generation enterprise data platforms.