At Curriculum Associates, we believe in the potential of every child and are changing the face of education technology with award-winning learning programs like i-Ready that serve a third of the nation’s K–8 students. For more than 50 years, our commitment to making classrooms better places, serving educators, and supporting accessible learning experiences for all students has driven the continuous improvement of our innovative programs. Our team of more than 2,500 employees is composed of lifelong learners who stand behind this mission, working tirelessly to serve the educational community with world-class programs and support every day.
About the Role
We are hiring a Salesforce IT Architect to lead the architecture, design, security, AI enablement, and technical governance of our Salesforce ecosystem. This role will ensure Salesforce is scalable, secure, well-integrated, AI-ready, and aligned with enterprise business processes across Sales, Service, Customer Success, Data, and IT.
The ideal candidate is a hands-on architect who can define platform direction, design integrations, strengthen data protection, reduce technical debt, and guide delivery teams through modern Salesforce capabilities including Data Cloud, Agentforce, Einstein, automation, and AI-driven workflows.
Key Responsibilities
Own Salesforce platform architecture across configuration, custom development, automation, AI capabilities, security, data model, reporting, and integrations.
Design scalable and secure integrations in partnership with the Senior Salesforce Architect, Salesforce leads and IT business partners between Salesforce and other enterprise systems, including data platforms, learning platforms, ERP and middleware.
Communicate complex technical concepts with clarity and confidence, influencing stakeholders across business and technology teams to drive alignment, informed decision-making, and successful solution delivery
Lead architecture for Salesforce AI use cases using Agentforce, Einstein, Data Cloud, Prompt Builder, copilots/agents, predictive insights, recommendations, and workflow automation.
Partner with Data, Security, and MDM teams to make Salesforce data AI-ready through clean data models, identity resolution, segmentation, data privacy, governance, and Snowflake/Data Cloud integrations.
Define secure integration patterns for APIs, Workato/iPaaS, batch jobs, event-driven flows, near-real-time synchronization, authentication, authorization, encryption, logging, and error handling.
Establish architecture standards for Salesforce development, AI governance, release management, environment strategy, documentation, secure configuration, and platform operations.
Lead solution design reviews, AI use-case assessments, security reviews, vendor evaluations, and technical tradeoff discussions.
Guide admins, developers, analysts, and implementation partners through secure design, build, test, release, and production support.
Identify and reduce technical debt, manual workarounds, brittle automations, duplicate logic, excessive permissions, unmanaged integrations, and platform security risks.
Required Qualifications
- 10+ years of Salesforce experience, including 3+ years in an architect, technical lead, or senior solution design role.
- Strong expertise in Salesforce platform architecture, including Sales Cloud and/or Service Cloud, Flow, Apex, Lightning, data model, sharing model, permission sets, profiles, and platform limits.
- Proven experience with Salesforce Data Cloud, Einstein capabilities, Agentforce, AI-assisted automation, prompt design, or AI-powered CRM workflows.
- Experience designing secure Salesforce integrations using APIs, middleware, ETL/ELT, iPaaS, or event-driven patterns.
- Strong understanding of enterprise data architecture, MDM, identity resolution, deduplication, data synchronization, system-of-record principles, data privacy, and access governance.
- Experience with Salesforce security architecture, including role hierarchy, sharing rules, field-level security, permission set groups, connected apps, OAuth, SSO, MFA, audit logs, and secure API access.
- Ability to evaluate AI use cases for feasibility, data readiness, privacy, security, business value, and operational risk.
- Experience translating business processes into scalable, secure, and AI-enabled Salesforce solutions.
- Strong documentation, governance, risk management, and cross-functional leadership skills.
Preferred Qualifications
- Salesforce architect-level certifications preferred.
- Salesforce Data Cloud, AI, Einstein, or Agentforce-related certifications preferred.
- Experience with Workato, Snowflake, Kafka, MDM platforms, or enterprise data pipelines.
- Experience modernizing Salesforce orgs and reducing technical debt and security exposure.
- Experience with Salesforce DevOps tools such as Gearset, Copado, Flosum, Salesforce DX, Git, CI/CD pipelines, code scanning, and release controls.
- Experience evaluating AppExchange products, third-party Salesforce ecosystem tools, AI vendors, and vendor security posture.
- Familiarity with responsible AI, model governance, prompt governance, data privacy, and compliance frameworks in enterprise SaaS environments.
Success in This Role Looks Like
- A clear and scalable Salesforce architecture roadmap.
- Stronger integration reliability, observability, and security.
- Better Salesforce data quality, privacy, and AI readiness.
- Successful delivery of high-value Salesforce AI use cases.
- Reduced technical debt, excessive access, and manual workarounds.
- Faster delivery with lower long-term platform, data, and AI risk.
- Trusted partnership with business, IT, data, security, AI, and vendor teams.
