Salesforce
Software Engineering Architect — Digital Marketing Technology
$218K–$401K
Washington - Seattle +5 · Office Tech-Flexible · Full-time · Posted Oct 29, 2026
- Location
- Washington - Seattle
California - Palo Alto
Illinois - Chicago
New York - New York
Indiana - Indianapolis
California - San Francisco - Experience
- 12+ years of professional software engineering; 5+ years in an architectural role.
About the job
Leads the architectural strategy and integration of Salesforce’s event technology platforms, validating designs hands-on and aligning engineering, product, and event marketing teams.
What you'll do
- Define architecture and integration standards across event registration, attendee experiences, marketing, identity, data, and event delivery.
- Prototype and validate high-impact designs, and unblock engineering teams through design reviews and technical guidance.
- Partner with product and engineering leaders, align roadmaps, and provide feedback on Salesforce products based on their use at large-scale events.
What they ask for
- 12+ years of professional software engineering experience and 5+ years in an architectural role designing enterprise-scale distributed systems.
- Experience across relevant domains, including Data Cloud, Agentforce/AI Agents, marketing journey orchestration, identity, content management, and event or registration platforms.
- Direct experience with event registration, attendee management, agenda/session tooling, or ticketing platforms; hands-on ability to read and write code or configuration.
- Expert-level understanding of Salesforce platform capabilities, especially Data Cloud ingestion patterns and Agentforce architectures.
Nice to have
- Experience transitioning legacy service-provider models into product-led engineering organizations or with Federated GraphQL architectures.
- Background in Event Technology, Digital Marketing, or AdTech, or experience with on-site event technology.
Pay
$218,400 - $365,200 annually (base salary); $263,200 - $401,400 annually (base salary)
Tools
Agentforce, Data Cloud, AWS, API Gateway, Lambdas, SNS, SQS, Apache Kafka
AI focus
Architects and prototypes AI-agent workflows for event attendees and operations, including conversational agents, copilots, and autonomous agents; applies LLMs and agent orchestration, and uses AI tools in daily engineering work.
Model-written summary · the original posting is authoritative