Salesforce Technical Architect - Data 360

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Product Forward Deployed Engineering (FDE) team is Salesforce's zero-to-one engine for new product innovation. We embed directly with our most strategic customers to validate emerging capabilities, harden the platform under real-world conditions, and transform every field insight into repeatable patterns that shape the product roadmap. This role sits at the intersection of Data 360 and Core Salesforce Clouds (Sales, Service). You will design, validate, and operationalize enterprise-grade data architectures—centering on Salesforce Data 360 (D360). You will work directly with customer architects, data engineers, and platform owners to design, validate, and operationalize enterprise-grade data architectures that integrate D360 into complex enterprise ecosystems—including hyperscalers, data lakes, real-time pipelines, identity systems, and governance frameworks. Most technical roles ask you to implement what already exists. This role asks you to define what comes next. You'll work with data and activation features before they're named, solve problems before there are playbooks, and build the artifacts that the rest of the field will use for years. Your work doesn't just help one customer—it hardens the Data 360 platform for every customer that comes after. The ideal candidate brings high agency and self-motivation to ambiguous, high-stakes environments. You thrive when there's no established answer, move fast without losing rigor, and treat every customer engagement as a learning opportunity that makes the platform better for everyone. You're endlessly curious, quick to adapt, and energized by problems that haven't been solved yet. Your Impact Research & Field Validation Deploy and stress-test pilot features with customers on Data 360, identifying platform gaps and feeding structured findings back to Technology & Product Conduct feasibility research on novel use cases—determining what's possible, what's not, and what needs to change in the product to get there Own and drive the full technical lifecycle, from deep technical discovery and system design to architecture validation and technical close, across in-person and virtual engagements Co-develop hypotheses with Technology & Product and design experiments to validate them in the field Execute hands-on technical validation (POCs, architectural walkthroughs, reference implementations) to de-risk complex deals and accelerate Data 360 adoption Document and escalate critical engineering issues with detailed evidence packages to accelerate resolution Customer Engagement Lead technical engagement of new Data 360 products and features Embed directly with customer teams to deeply understand their operational environment and architect solutions that solve real problems at scale Design and validate end-to-end data architectures integrating Salesforce D360 with enterprise systems (Snowflake, Databricks, BigQuery, Redshift, streaming platforms, MDM, and source systems) Own technical architecture decisions, including data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360 Run rapid prototypi ... (truncated, view full listing at source)