TECHNICAL ARCHITECT

Coforge Limited; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Coforge Limited in Bengaluru seeks a Technical Architect for Healthcare Data Platform implementations. You will own end-to-end solution architecture across data engineering, AI/ML, security, analytics, and integration with EHR systems like Epic/Cerner.

The role requires 12–18 years in enterprise/solution architecture, hands-on with cloud data platforms (Databricks, Snowflake) and DevOps practices. You will lead tri-party governance and drive platform roadmaps with vendors and customers.

Qualifications

• 12–18 years in enterprise/solution architecture with end-to-end ownership.
• Experience designing large-scale data platform architectures (data lakes, lakehouses, ETL/ELT).
• Familiarity with AWS or Azure cloud services and data tools.

Responsibilities

• Own end-to-end solution architecture across data engineering, AI/ML, IAM/security, QA, analytics.
• Act as technical anchor in a tri-party delivery model (SI, vendor, customer).
• Define solution blueprints for data ingestion, transformation, MDM, analytics, AI/ML, and dashboards.
• Ensure production-grade deployment with defined integration contracts.
• Drive platform capability mapping and roadmap discussions with vendors.
• Design end-to-end integration topology including HL7/FHIR, EHR interfaces, SFTP, EDI.
• Coordinate with customer IT and vendor teams on access and capabilities.
• Establish DevOps practices: IaC, automated testing, deployment, monitoring.

Skills

Enterprise Architecture

Solution Architecture

Data Platform Architecture

EHR Integration

Tools

Databricks

Snowflake

AWS

Azure

Terraform

CloudFormation

Jenkins

GitHub Actions

Azure DevOps

Docker

Kubernetes

Job description

ole 1: Technical Architect ? Healthcare Data Platform

Role Title

Technical Architect ? Healthcare Data Platform Implementations

Experience

12?18 years in enterprise / solution architecture

Reports To

Engagement Delivery Manager / Practice Head

Core Focus

End-to-end solution architecture, system integration, deployment, and cross-workstream governance across SI delivery, product vendor, and customer

End-to-End Solution Architecture & Governance

Own the complete solution architecture across data engineering, AI/ML, IAM/security, QA, analytics, and client IT workstreams

Act as the technical anchor in a tri-party delivery model ? bridging SI delivery team, platform vendor product team, and customer IT leadership

Define solution blueprints covering data ingestion, transformation, master data management, analytics, AI/ML, dashboards, and write-back to source systems

Ensure all workstreams converge into a coherent, production-grade deployment with clearly defined integration contracts between teams

Platform Capability Mapping

Map customer requirements to platform capabilities ? identify what is available out-of-the-box, what can be configured, what needs customization, and what requires a product update from the vendor

Manage expectations across all three parties ? ensure the solution does not overpromise against current platform reality

Drive roadmap conversations with the product vendor when customer requirements exceed current capabilities

System Integration Design

Design end-to-end integration topology across the customer's technology landscape: EHR systems (Epic, Cerner), legacy databases, SFTP feeds, HL7 v2/FHIR R4 interfaces, claims/EDI feeds, IT operations platforms, and security telemetry systems

Define connector sequencing, protocol selection, API gateway design, network constraints (firewall rules, IP whitelisting, VPN), and error handling patterns

Coordinate with customer IT on source system access and with vendor product team on connector capabilities and limitations

Design environment topology (Dev, QA, Staging, Prod), workspace isolation strategy, and CI/CD pipelines for platform artifacts

Define environment promotion gates, rollback procedures, disaster recovery architecture, and RTO/RPO targets

Establish DevOps practices: infrastructure-as-code, automated testing, deployment automation, monitoring, and alerting

Define deployment model for AI agents (versioning, guardrail promotion, canary deployment) and dashboards (embedded vs standalone, refresh schedules, data gateway architecture)

Risk & Escalation Management

Manage tri-party escalation path: SI delivery blockers, vendor platform gaps, and customer infrastructure or access dependencies

Surface platform limitations, technical debt, and roadmap dependencies early; act as honest broker across all parties

Maintain architecture decision log and technical risk register

Chair technical steering committee with representation from SI, vendor, and customer

Own go-live technical readiness assessment

Serve as technical counterpart to customer CTO, CISO, and VP of IT

Primary technical liaison to platform vendor team for escalations, feature requests, and roadmap alignment

Create architecture diagrams, integration topology, and deployment models for customer proposals and RFP responses

Ensure proposals are grounded in platform reality ? what is supported today vs what is on the vendor roadmap

Participate in technical defense during customer orals and solution presentations

Required Skills & Qualifications

Architecture & Engineering

12?18 years in enterprise or solution architecture with end-to-end ownership ? from solution design through production deployment

Proven experience designing large-scale data platform architectures: data lakes, lakehouses , ETL/ELT pipelines, real-time and batch processing, API-driven integrations

e with tools like Databricks or Snowflake; familiarity with AWS (S3, Glue, Redshift, Lambda) or Azure (ADLS, Synapse, Data Factory, Event Hub)

Strong DevOps and CI/CD experience: infrastructure-as-code (Terraform, CloudFormation), automated deployment pipelines (Jenkins, GitHub Actions, Azure DevOps), containerization (Docker, Kubernetes)

Experience with environment management, promotion workflows, rollback strategies, and production incident management

Data & Analytics

Working knowledge of data governance frameworks, data stewardship practices, metadata management, and data catalog tools

Experience with exploratory data analysis (EDA) ? data profiling, statistical analysis, data quality assessment, and anomaly detection as part of solution design

Understanding of analytics and BI architecture: dimensional modeling, measure/metric design, dashboard architecture, and reporting layer patterns

Familiarity with master data management (MDM) concepts: entity resolution, golden record, survivorship rules

Exposure to healthcare IT ? provider or payer side; understanding of EHR landscape, clinical and financial data flows, and regulatory environment

Working knowledge of healthcare interoperability standards: HL7 v2, FHIR R4, CCDA, EDI X12 (837/835/270/271)

Understanding of HIPAA compliance requirements, PHI handling, and healthcare security posture (SOC2, HITRUST)

Integration & Security

Experience with system integration patterns: API gateway design, event-driven and message-based architectures, SFTP/FTPS, database CDC, webhook patterns

Experience with identity and access management: SAML, OAuth2, SSO, RBAC/ABAC models, row-level security, data masking

Soft Skills

Excellent stakeholder communication ? able to articulate architecture to both engineering teams and C-suite leadership

Experience working in a multi-vendor / tri-party delivery model (SI + product vendor + customer)

Preferred / Good to Have

Prior SI experience implementing healthcare data platforms (Health Catalyst, Arcadia, or similar)

Experience with Epic/Cerner EHR integration: API auth, FHIR bulk export, billing module integration, clinical data write-back

Familiarity with AI/ML agent architectures, LLM integration, RAG pipelines, and guardrail frameworks

Familiarity with CMS quality programs (HEDIS, Star Ratings, MIPS) and value-based care models

Certifications: AWS/Azure Solutions Architect, Databricks Certified, Snowflake SnowPro, TOGAF, Kubernetes (CKA)