TECHNICAL ARCHITECT

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

Deployment

1 per engagement

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

Deployment, DevOps & Environment Governance

• 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

Client Interface & Steering

• 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

Pre-Sales & Solution Design

• 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

• Hands-on experiencKeyResponsibilities

• 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

Healthcare Domain

• 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)