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 qu