Salesforce Enterprise Technical Architect

Job Summary:

Client is on a mission to build a world-class, AI-ready GTM platform ecosystem that powers personalized learner and customer experiences across all of its brands, business units, and geographies. To get there, we need an enterprise architect who thinks in decades, builds in sprints, and operates with a 10X mindset.

This is not a purely Salesforce role. It is a senior enterprise architecture position that requires deep Salesforce technical expertise as its foundation, combined with the breadth to design, govern, and evolve the full SaaS platform landscape. You will own the architecture of client’s GTM technology ecosystem: from CRM, commerce, and marketing automation to integration fabric, data platforms, identity, security, cloud infrastructure, DevOps, and AI.

You will be the authoritative technical voice on platform scalability, resilience, and long-term viability — partnering with product, engineering, marketing, finance, and executive leadership to align every architectural decision to business outcomes. If you thrive at the intersection of bold vision and disciplined execution, this role was built for you.

Key Responsibilities:

1.  Enterprise Architecture Strategy & Governance

·       Define and own the multi-year North Star enterprise architecture roadmap for Client’s GTM platform ecosystem, spanning CRM, integration, data, commerce, marketing, and cloud infrastructure.

·       Establish and chair the Architecture Review Board (ARB); govern architectural decisions, technical standards, and guardrails across all business units and brands.

·       Develop reusable reference architectures, patterns, and platform blueprints that apply consistently across Client’s portfolio.

·       Translate executive vision and business strategy into executable, multi-year platform roadmaps — maintaining the balance between velocity and architectural integrity.

·       Apply enterprise architecture frameworks (TOGAF, Zachman, or equivalent) pragmatically to shape governance without becoming a bottleneck to delivery.

2.  Salesforce Platform Architecture

·       Serve as the technical authority for the full Salesforce ecosystem: Sales Cloud, Service Cloud, Commerce Cloud (B2C/B2B), Marketing Cloud, Data Cloud, and Agentforce.

·       Architect complex cross-cloud solutions including lead-to-revenue, order-to-cash, case-to-resolution, identity resolution, and consent and preference management.

·       Own Salesforce org strategy, data model design, security and sharing architecture, and multi-org governance.

·       Lead technical design reviews and code reviews; establish Salesforce development standards covering Apex, LWC, Flow, OmniStudio, APIs, and managed packages.

·       Drive technical debt remediation, platform health reviews, and continuous architectural improvement across all Salesforce clouds.

3.  Enterprise Integration & API Strategy

·       Design and govern the enterprise integration architecture using Boomi (preferred), MuleSoft, or a comparable iPaaS platform at scale.

·       Establish API-first and event-driven integration standards: API design, versioning, lifecycle management, error handling, observability, and rate limiting.

·       Define reusable integration patterns (pub/sub, CDC, REST/SOAP, ETL/ELT, streaming) and a shared middleware services layer consumed across clouds and applications.

·       Integrate Salesforce with ERP, LMS, fintech, payments, data warehouses (Snowflake, Databricks), and third-party SaaS platforms.

·       Own the integration governance model: connectors library, API catalog, developer portal, and runtime monitoring strategy.

4.  SaaS Platform Architecture, Scalability & Resilience

·       Evaluate, rationalize, and govern the broader SaaS platform portfolio — ensuring every tool earns its place in the ecosystem and integrates cleanly with the rest.

·       Design for scalability, high availability, and multi-tenancy across all SaaS platforms supporting Client’s growth trajectory.

·       Define archiving strategy, data retention policies, and backup and restore frameworks across the full platform ecosystem.

·       Establish observability and platform health standards: monitoring, alerting, SLA definitions, incident response playbooks, and capacity planning.

·       Lead vendor evaluation and selection for new platforms, assessing architectural fit, total cost of ownership, and strategic alignment.

5.  Security, Compliance & Identity Architecture

·       Own the enterprise security architecture across the GTM platform stack: identity and access management, SSO/SAML/OAuth, RBAC, data encryption, and zero-trust principles.

·       Define security standards for API authentication, data-in-transit and data-at-rest protection, secrets management, and vulnerability management.

·       Ensure compliance with relevant frameworks and regulations (SOC 2, GDPR, FERPA, CCPA, or applicable industry standards) through architectural controls embedded in the platform.

·       Partner with InfoSec and Legal to conduct threat modeling, risk assessments, and security reviews for new platforms and integrations.

·       Define and enforce data privacy architecture: consent management, PII handling, data lineage, and right-to-erasure workflows.

6.  DevOps, Release Engineering & Testing Architecture

·       Establish CI/CD pipelines, source control strategy, sandbox governance, and release management practices for the Salesforce ecosystem and the broader platform stack.

·       Define a comprehensive testing architecture: unit, integration, regression, performance/load testing, and end-to-end environment management.

·       Drive DevOps maturity: infrastructure-as-code, automated deployments, feature flagging, blue-green deployments, and rollback strategies.

·       Govern release planning cadences, change advisory processes, and production deployment standards across all platforms.

·       Own tooling strategy for DevOps and release engineering (GitHub, Flosum, Copado, or equivalent); ensure tooling scales with team and platform growth.

7.  AI, Emerging Technology & Innovation

·       Champion the adoption of AI and automation across the GTM platform: Einstein AI, Agentforce, GenAI-powered copilots, and predictive analytics.

·       Identify, evaluate, and pilot AI use cases including intelligent service automation, lead scoring, personalized learning journeys, dynamic content generation, and next-best-action decisioning.

·       Embed AI tools into the engineering workflow — from code generation and documentation to testing, incident response, and architectural analysis.

·       Foster a 10X engineering culture: challenge teams to find exponential levers, automate aggressively, and deliver outsized value with focused effort.

·       Stay ahead of the curve on emerging technologies (agentic AI, multi-modal models, vector databases, streaming platforms) and translate them into actionable roadmaps for Client.

8.  Leadership & Cross-Functional Partnership

·       Mentor and develop Salesforce architects, solution architects, and senior engineers — building a culture of architectural excellence and continuous learning.

·       Serve as the senior technical advisor and escalation point for complex platform decisions, production incidents, and strategic vendor negotiations.

·       Communicate architectural strategy, roadmaps, and trade-offs clearly to both C-suite leadership and engineering teams.

·       Partner with Product, Engineering, Marketing, Sales, Finance, and Operations to ensure architectural decisions enable business outcomes.

·       Build strong relationships with Salesforce, Boomi, AWS, Snowflake, and other strategic vendor partners; influence product roadmaps and leverage early access to new capabilities.

Qualifications & Experience:

Required:

·       12+ years in enterprise software architecture, with at least 7 years as a Salesforce Technical Architect.

·       Demonstrated track record as a full-scope Enterprise Architect — owning architecture across application, integration, data, security, and infrastructure domains simultaneously.

·       Deep, hands-on Salesforce platform expertise: Apex, LWC, Flow, OmniStudio, Platform Events, Data Cloud, and the Salesforce security and sharing model.

·       Proven experience across multiple Salesforce clouds: Sales Cloud, Service Cloud, Commerce Cloud, Marketing Cloud, and Data Cloud.

·       Hands-on experience designing and governing enterprise integrations using Boomi, MuleSoft, or a comparable iPaaS platform at scale.

·       Strong experience with API management, event-driven architecture, Change Data Capture, and streaming integration patterns.

·       Experience designing scalability, high-availability, and disaster recovery architectures for SaaS platform ecosystems.

·       Solid understanding of at least one major cloud platform (AWS, Azure, or Google Cloud Platform) and how it underpins SaaS resilience, scalability, and security.

·       Experience defining DevOps, CI/CD, and release management practices for Salesforce and enterprise SaaS platforms.

·       Familiarity with enterprise data platforms (Snowflake, Databricks) and modern data architecture patterns (lakehouse, data mesh, data fabric).

·       Proven ability to lead architecture governance: establishing standards, running ARBs, and influencing technical direction across multiple teams and business units.

·       Excited about and actively using AI tools — including AI code assistants, GenAI models, and automation platforms — as a core part of your architectural practice.

Preferred:

·       Salesforce Certified Technical Architect (CTA) — or actively pursuing CTA.

·       Salesforce Application Architect and/or System Architect certification.

·       Cloud-specific Salesforce certifications (Sales, Service, Commerce, Marketing, Data Cloud, Integration Architect).

·       Boomi Architect, MuleSoft Integration Architect, or equivalent iPaaS certification.

·       Familiarity with TOGAF, Zachman, or a comparable enterprise architecture framework.

·       Experience in ed-tech, professional licensing, e-commerce, or other high-volume, regulated SaaS environments.

·       Experience implementing Salesforce Agentforce, Einstein AI, or comparable AI platform capabilities.