Consultant - Data Architect

Job Summary

At HCA Healthcare, Digital Transformation Innovation brings advanced engineering together with our commitment to the care and improvement of human life. HCA Healthcare - India is helping shape the next generation of healthcare technology through artificial intelligence, modern data platforms, cloud-based services, intelligent automation and secure digital experiences built for real healthcare environments.

Our teams solve complex challenges where trust, reliability, privacy and speed matter. We turn data into insights, improve workflows through intelligent products, and develop responsible AI solutions that help clinicians, care teams and operational teams serve patients.

From India, you will help move technology beyond experimentation and into production. You will build solutions designed to perform reliably, protect sensitive information and deliver measurable healthcare impact.

This is technology with purpose - built to perform, designed for trust and focused on improving healthcare.

Major Responsibilities

• Architectural judgment grounded in hands-on implementation
• Deep technical expertise in cloud data platforms
• Strong problem-solving, systems design, and software engineering skills
• Ability to bridge business, clinical, and technical domains
• Communication and interpersonal skills; influence without authority
• Understand strategic imperatives

Hands-On Architecture Reference Implementation

• Design data architecture patterns for a defined platform or domain within the GCP Lakehouse ecosystem, and personally build the reference implementations that prove them.
• Write production-quality code (Python, SQL, Java/Scala) for ingestion frameworks, transformation pipelines, and platform tooling - not prototypes thrown over the wall, but modular, tested, reusable code that serves as the pattern others follow.
• Benchmark and validate architectural options empirically: build competing approaches, measure cost, throughput, and latency, and let evidence drive the standard.
• Spend meaningful time in the codebase alongside engineers - pairing, reviewing pull requests, and debugging production issues - to keep designs anchored in operational reality.
• Produce architecture decision records (ADRs), reference architectures, and diagrams that are backed by working artifacts in source control.
• Modernize and refactor legacy pipelines, leading migrations through direct contribution rather than delegation alone.

Lakehouse Data Platform Design

• Design and build Lakehouse environments using BigQuery, Apache Iceberg, Delta Lake, and GCS, including schema evolution, ACID compliance, partitioning, clustering, metadata management, and lifecycle policies.
• Model data and access patterns that serve both analytical and AI-driven workloads; implement the initial models and validate them against real query workloads.
• Optimize storage and compute for cost and performance across large-scale document and data repositories; instrument pipelines so cost and performance are observable, not estimated.
• Define and uphold SLAs for timely delivery of data, and build the monitoring that proves they are met.

Ingestion, Processing AI Enablement

• Design, build, and tune ETL/ELT and real-time ingestion pipelines using Dataflow, Dataproc, Pub/Sub, Kafka, Spark Streaming, Cloud Run, Cloud Composer, GKE, and Cloud Functions.
• Build multi-modal ingestion capabilities handling structured, semi-structured, and unstructured data (documents, text, images, PDFs, audio/video metadata).
• Implement AI-assisted ingestion patterns - semantic chunking, embedding generation, metadata extraction, classification, and enrichment - in partnership with the AI/ML practice, and integrate them into pipelines hands-on.
• Partner with AI/ML teams on vector storage and retrieval (RAG) patterns aligned with enterprise governance standards.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.