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Principal Data Architect (Healthcare AI)

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Lead the migration of a batch-oriented, file-based data environment to a cloud lakehouse on AWS for a healthcare AI company. Design architecture, build ETL pipelines, enforce data governance, and hire/lead a data engineering team in India. Requires 10+ years in data engineering, hands-on AWS experience, and ownership of production migrations.

Key Highlights
Lead migration from batch/file-based to AWS cloud lakehouse for healthcare AI company
Hands-on architecture design, ETL pipelines, and data governance for PHI
Hire and lead data engineering team in India within 12 months
Key Responsibilities
Design and execute cloud lakehouse migration for healthcare data
Build and harden ETL pipelines with upsert/merge logic
Enforce data governance, access control, and quality standards for PHI
Set engineering standards for data platform (code review, testing, cost management)
Lead hiring and development of data engineering team in India
Technical Skills Required
AWS (S3, serverless query/ETL) Data Architecture & Lakehouse Design ETL Pipelines (upsert/merge, scheduling, monitoring)
Benefits & Perks
Base salary of ₹70–100 lakh per year
Incentive stock options
Relocation assistance (reimbursed)
Health insurance, provident fund, and leave per XIPL policy
Company cab service for Noida employees
Nice to Have
Experience with Apache Iceberg/Delta Lake/Hudi and PySpark
Multi-tenant/multi-client data schema design
Data governance/security in regulated environments (healthcare/financial)

Job Description

You will be the final decision maker on the company’s data architecture, reporting directly to the Chief Operating Officer. Your first job is to lead the move from a batch-oriented, file-based environment to a cloud lakehouse on AWS. The data comes from many healthcare clients, each with its own structure, and all of it is protected health information. It has to support both automated medical coding and natural-language questions from users across the company.

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