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 experienc Key Responsibilities 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)