Senior Data Engineer
Sales Crediting & Incentives Team

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.

Position Overview
Salesforce is looking for an exceptional Data Engineer to join our Data & Analytics organization and help power the future of intelligent, agentic Customer Success. In this high-impact role as a senior technical individual contributor, you will bridge the gap between raw data systems and the agentic layer driving true business impact. You will architect, build, and scale the foundational data pipelines and data graphs that ground our AI agents in accurate, real-time, high-context data. By ensuring absolute data quality, reliability, and freshness, and partnering across engineering, data science, and product teams, you will create the unified data backbone that powers Agentforce's personalized, intelligent customer interactions.

What You'll Do
Data Architecture & Development: Build the data architecture and catalog for AI consumption and human augmentation, leading with precision, rigor, and scale.
Customer Graphs & Identity: Build on top of identity graphs, overlaying structured, unstructured, and real-time insights to power agentic systems and human-facing applications.
Operational Excellence: Establish and enforce rigorous technical standards for data quality, latency, and index freshness, ensuring AI agents provide reliable, real-time insights.
Cross-Functional Collaboration: Partner with engineering leaders, product managers, decision scientists, and data scientists to translate complex business needs into scalable, production-ready solutions.
AI Integration & Automation: Lead high-impact initiatives to automate data delivery pipelines, ensuring seamless integration across internal databases, third-party APIs, and the AI orchestration layer.
Software Engineering: Build and ship high-quality, production-grade software using modern engineering practices, embedding AI tools into your daily workflow to deliver secure, optimized code.
Code Quality Assurance: Critically evaluate both human and AI-generated code for correctness, quality, security, and performance.
On-Call Support: Participate in the team's on-call rotation to triage production data issues in real time, keeping critical services highly available.