Lead Cloud Architect

Job Summary: Enterprise Healthcare client has an immediate opening for a highly motivated Lead Cloud Architect to join their dynamic and growing team. All qualified candidates are encouraged to apply! location: Telecommute job type: Contract salary: $73.16 - 83.16 per hour work hours: 8am to 5pm education: Bachelors Responsibilities: Key Responsibilities Enterprise Architecture and Strategy Define and maintain the enterprise Salesforce Data Cloud architecture roadmap, reference architecture, principles, and reusable patterns. Translate business capabilities and nonfunctional requirements into scalable solution architectures, transition states, and implementation guardrails. Assess platform fit, integration complexity, data-volume considerations, technical debt, performance, operability, and total lifecycle impact. Lead architecture review boards, solution-design reviews, proofs of concept, and technical risk assessments. Data Modeling, Identity and Governance Design Data Cloud data streams, Data Lake Objects, Data Model Objects, data mappings, data spaces, harmonization rules, and lifecycle controls. Lead identity-resolution strategy, match and reconciliation rules, unified profiles, source prioritization, survivorship, and data-quality controls. Define metadata, lineage, stewardship, retention, consent, privacy, and master-data-management alignment. Establish controls for PII and PHI handling, access segregation, encryption, monitoring, auditability, and regulated-data use. Integration and Data Engineering Architect batch, near-real-time, streaming, event-driven, API-led, and zero-copy integration patterns across Salesforce and enterprise platforms. Define ingestion, transformation, error handling, replay, idempotency, reconciliation, observability, and recovery standards. Partner with MuleSoft, Snowflake, Azure, data engineering, and source-system teams to establish interface contracts and canonical models. Guide large-volume data processing, performance tuning, capacity planning, data archival, and cost-aware design. Analytics, Activation and AI Enablement Design trusted segmentation, Calculated Insights, activation targets, Data Actions, reporting, dashboards, and analytical consumption patterns. Enable CRM Analytics, Tableau, personalization, marketing, service, sales, Agentforce, predictive modeling, and generative AI use cases. Define grounding, retrieval, prompt-data, model-access, audit, and responsible-AI controls for customer-data use cases. Ensure activated audiences and insights are measurable, traceable, governed, and aligned to approved business purposes. Delivery Leadership Collaborate with product owners, business analysts, security, privacy, data governance, architects, developers, administrators, and vendors. Provide technical direction throughout discovery, backlog refinement, design, build, testing, deployment, hypercare, and operational transition. Mentor architects and engineers, establish engineering standards, and conduct code, configuration, data-model, and integration reviews. Define architecture deliverables, quality gates, technical acceptance criteria, and production-readiness requirements. Required Coding Languages And Development Skills The architect should be capable of reviewing production code, creating prototypes, validating integration designs, troubleshooting complex data flows, and setting engineering standards. The role is architecture-led but requires meaningful hands-on depth. SQL and SOQL Expected Depth: Advanced Required Capabilities Include: Complex query design Joins and subqueries Common table expressions Window functions Aggregations Data transformations Data reconciliation Query-performance analysis Snowflake SQL Data Cloud query development Calculated Insights Salesforce CRM data retrieval SOQL relationship queries Large-volume query optimization Apex Expected Depth: Strong Required Capabilities Include: Service-layer design Apex classes and interfaces Triggers and trigger frameworks Batch Apex Queueable Apex Scheduled Apex Future methods Asynchronous processing Platform Event processing Change Data Capture consumers External-service callouts Bulkification Governor-limit management Salesforce security enforcement Error handling and logging Unit-test design Mocking and dependency isolation Code-review standards JavaScript and TypeScript Expected Depth: Strong Required Capabilities Include: Lightning Web Components Modern JavaScript TypeScript-based development Reusable user-interface components Browser-side integration Node.js tooling API clients Asynchronous programming JSON processing Component testing Front-end test automation Client-side security Performance optimization Accessibility-aware development Python Expected Depth: Working to Strong Required Capabilities Include: Data profiling Data-quality validation Data transformation utilities API automation Test-data generation Operational scripts Reconciliation utilities Data engineering prototypes Jupyter notebooks AI and machine-learning integration Model-service integration File processing Production diagnostics Automation of repeatable architecture-validation tasks DataWeave Expected Depth: Strong Required Capabilities Include: MuleSoft payload transformation Canonical data-model implementation Mapping between source and target schemas JSON, XML, CSV, and structured-file processing Data validation Transformation rules Error handling Null and default-value management Reusable transformation modules Lookup and enrichment logic Performance-aware transformations Unit testing of transformation logic Java Expected Depth: Working Required Capabilities Include: Review of Java-based enterprise services MuleSoft extensions Custom connectors Enterprise integration services Object-oriented programming Review of middleware components JVM-based application diagnostics API implementation patterns Secure coding concepts Error handling and logging Shell and PowerShell Expected Depth: Working Required Capabilities Include: CI/CD automation Deployment scripting Environment validation Secure operational utilities File and configuration management Automated testing support Troubleshooting scripts Build-pipeline integration Release verification Platform health checks HTML and CSS Expected Depth: Working Required Capabilities Include: Lightning Web Component presentation Semantic HTML Responsive design Accessibility CSS styling Salesforce Lightning Design System alignment Experience Cloud extension review Cross-browser considerations Optional Languages Experience with one or more of the following is preferred: Scala Spark SQL C# R Required Technology Stack Salesforce Data Cloud The Architect Should Have Strong Experience With: Data Streams Data Lake Objects Data Model Objects Source-to-target data mappings Customer 360 data models Data harmonization Data Spaces Identity resolution Identity match rules Identity reconciliation rules Unified Individual Profiles Unified account and household concepts Segmentation Calculated Insights Activation Targets Data Actions Batch ingestion Streaming ingestion Data Cloud APIs Zero-copy integration concepts Data Cloud monitoring Usage governance Consent and privacy alignment Data lifecycle management Data quality and reconciliation Salesforce Platform The architect should have experience across relevant Salesforce clouds and platform capabilities, including: Sales Cloud Service Cloud Experience Cloud Marketing Cloud Health Cloud Applicable Salesforce industry clouds Lightning Web Components Apex Salesforce Flow Platform Events Change Data Capture Salesforce REST APIs Salesforce SOAP APIs Bulk API Composite APIs Named Credentials External Credentials Salesforce Shield CRM Analytics Tableau Agentforce Einstein capabilities Working Knowledge Of OmniStudio Is Preferred, Including: OmniScripts FlexCards DataRaptors Integration Procedures Integration and API Management The architect should have strong experience with MuleSoft and enterprise integration technologies, including: MuleSoft Anypoint Platform API-led connectivity System APIs Process APIs Experience APIs DataWeave CloudHub Runtime Fabric API policies API monitoring API governance Reusable integration assets Canonical data models Interface contracts Relevant API And Security Technologies Include: REST SOAP GraphQL OpenAPI OAuth 2.0 JSON Web Tokens SAML Mutual TLS Webhooks Event-driven integration API contract testing Relevant Messaging And Streaming Technologies Include: Salesforce Platform Events Salesforce Change Data Capture Apache Kafka Azure Event Hubs Azure Service Bus Comparable enterprise messaging technologies Data Platforms and Engineering The architect should have experience with enterprise data platforms such as: Snowflake Azure Data Lake Azure Databricks Azure Synapse SQL Server Oracle Comparable enterprise data warehouses Comparable lakehouse platforms Relevant ETL, ELT, And Orchestration Technologies Include: MuleSoft Azure Data Factory Informatica SQL Server Integration Services Databricks Apache Spark Comparable enterprise data-integration products Relevant File Formats And Data-engineering Concepts Include: Parquet JSON XML CSV Avro Schema evolution Data partitioning Data observability Data lineage Data cataloging Data-quality tooling Data reconciliation Metadata management Batch-processing architecture Streaming-processing architecture DevSecOps and Engineering Toolchain The Architect Should Have Hands-on Familiarity With: Git GitHub Enterprise GitLab Bitbucket Azure DevOps Jenkins Salesforce CLI Scratch organizations Unlocked packages Copado Gearset Artifact repositories Release-management platforms The Architect Should Establish Or Oversee Automation For: Unit testing Integration testing Regression testing Performance testing Contract testing Data-quality testing Security testing Static code analysis Dependency scanning Deployment validation Post-deployment verification Release governance Experience With Infrastructure And Configuration Automation Is Preferred, Including: Platform-appropriate scripting Terraform Comparable infrastructure-as-code tooling Cloud, Security and Operations The architect should have experience with Microsoft Azure services such as: Microsoft Entra ID Azure Key Vault Azure API Management Azure Functions Azure Storage Azure Monitor Azure Log Analytics Azure networking Private endpoints Identity and access management Comparable AWS or Google Cloud Platform experience may be considered. Required Security Capabilities Include: Role-based access control Least-privilege design Identity and access management Key management Secret management Encryption at rest Encryption in transit Tokenization Data masking Audit logging Security information and event management integration Incident support Disaster-recovery design PII protection PHI protection Consent management Data-retention controls Data-access monitoring Required Operational Architecture Capabilities Include: Monitoring Distributed tracing Alerting Service-level objectives Operational dashboards Runbooks Capacity planning Performance management Production-support readiness Failure recovery Business continuity Disaster recovery Cost monitoring and optimization Qualifications: Bachelors Skills: AWS,Application Architect,AI,Azure Data,cloud environment,Cloud,Cloud Computing Security,cloud-native architectures,customer master data,data solutions,database technologies,DevOps,distributed cache,enterprise data platforms,enterprise application,enterprise software,ETL,Google cloud,AI architecture,Identity and Access Management,data engineering,Information Systems,computer science,hosting services,Jenkins,Microservices,Microsoft Azure,Azure,Azure Solutions,MuleSoft,multi-cloud,Oracle Cloud Infrastructure,retrieval-augmented generation,Salesforce platform,Salesforce Data Cloud,Salesforce,vector search,Serverless,Snowflake,software design patterns,technical design reviews,System Architect,integrating,TOGAF,identity resolution,Virtual Private Network,VPN,analytical skills,Ability to communicate,excellent judgment,decision making skills,Soft Skills,leadership,resilient,reliability,Ability to work independently,AWS,architecture,business objectives,Azure,Microsoft Certified: Azure Data Engineer Associate,Microsoft Certified: Azure Solutions Architect,Oracle Cloud Infrastructure,TOGAF certification,CRM,collect data,Data Science,digital engagement,enterprise architecture,establish facts,governance,model governance,Healthcare,insurance,financial services,mathematics,statistics,managed care,modeling,predictive analytics,project management skills,risks,security,Salesforce Certified Application Architect,security requirements,solution architecture,warehouse,technical aptitude Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.