Architect
Healthcare
Architect-Data
Neural analysis suggests this role is
optimal for Senior candidates.
“Architect - Data at Architect. Skills: Data Architecture, Google Cloud Platform, Apache Iceberg, FHIR. Define architectural blueprint. Define canonical data model”
What You'll Achieve.
RPO under 5 minutes; RTO under 4 hours
Industry & Context.
Root cause analysis; Troubleshooting; Critical thinking
PHI handling discipline
What They're Looking For.
Must Have
Bachelor's or Master's degree, 8+ years of data engineering experience, 3-5 years in Data Architect or Lead Data Engineer role, Deep expertise architecting and operating large-scale data platforms on Google Cloud Platform, Hands-on experience with Apache Iceberg in production, Production experience with Starburst or Trino, Experience with streaming architectures using Apache Flink and Apache Kafka, Expert SQL and Python skills, Deep experience with dbt, Comprehensive understanding of healthcare data standards, Hands-on experience with FHIR runtime platforms, Experience with master data management for patient identity resolution, Experience designing for HIPAA-regulated environments, Demonstrated ability to lead complex technical initiatives, Make critical architectural decisions under uncertainty, Influence diverse stakeholders, Excellent written and verbal communication
Nice to Have
GCP Professional Data Engineer or Cloud Architect certification, Experience with Atlan or comparable governance platforms, Experience with multi-region deployments on GCP, Production experience operating Confluent Cloud, Familiarity with spec-driven development workflows, Experience replacing or sunsetting legacy healthcare data platforms
What You'll Do.
Define architectural blueprint
Define canonical data model
Define ingestion framework
Define transformation patterns
Define FHIR serialization layer
Define bidirectional flow with FHIR-Repository
Define governance frameworks
Define observability frameworks
Set standards for implementation
Partner with customer's Health Data Engine technical owners
Make architectural decisions
Defend architectural choices
Adapt architectural choices
Own end-to-end architecture
Maintain architecture specification document
Lead design of Common Data Model
Lead evolution of Common Data Model
Define bidirectional FHIR flow
Specify FHIR repository egress interceptor contract
Specify loopback Flink consumer pipeline
Specify boundary semantics
Define patient identity resolution architecture
Set standards for naming conventions
Set standards for hash algorithms
Set standards for Iceberg table properties
Set standards for DLQ taxonomy
Set standards for observability
Set standards for security
Own spec-driven development framework
Approve changes to platform-wide rules
Drive high-volume capacity design
Lead capacity planning
Lead capacity validation
Lead parallel-run cutover
Evaluate technology choices
Recommend technology choices
Build trade-off matrices
Defend technology recommendations
Provide architectural review for engineering work
Review component specs
Mentor data engineers
Lead architectural review meetings
Translate complex trade-offs
Establish disaster recovery strategy
Evolve disaster recovery strategy
Establish backup strategy
Evolve backup strategy
Establish reprocessing strategy
Evolve reprocessing strategy
How You'll Work.
Team & Collaboration
Customer technical stakeholders; Health Data Engine team; Governance team; Security team; Clinical informatics team
Communication Scope
Verbal communication; Written communication; Translate complex trade-offs
Process & Methodology
Spec-driven development
Full Job Description
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! # # _**Data Architect**_ **Exp Range :** 8 - 13 Years **Job location :** Mumbai , Bangalore, Trivandrum ## Role Overview The Data Architect is the senior technical owner of the platform's design. You will define and evolve the architectural blueprint — the canonical data model, the ingestion framework, the transformation patterns, the FHIR serialization layer, the bidirectional flow with FHIR-Repository, and the governance and observability frameworks that hold them together. You will set the standards every other role implements against. This role works in close partnership with the customer's existing Health Data Engine technical owners, who carry deep operational knowledge of healthcare data at scale. Architectural decisions are made in dialogue with them, anchored on real volume requirements and known operational pain points. You will be expected to defend choices with technical depth and adapt them when warranted. ## Key Responsibilities * Own the end-to-end architecture across ingestion (Flink + PySpark), storage (Iceberg on GCS with BigLake Metastore), transformation (dbt over Starburst), FHIR serialization (flat FHIR Iceberg → bundles → FHIR-Repository), and consumption (Starburst, FHIR API, data products). Maintain the architecture specification document and its companion design docs. * Lead the design and evolution of the Common Data Model (CDM): the dimensional, fact, bridge, and reference table classes; SCD2 semantics; hash key conventions; the write-authority matrix that governs cross-source field precedence. CDM is the project's central design art
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