Principal Data Engineer

Job CategorySoftware EngineeringJob 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.**PRINCIPAL DATA ENGINEER**Mexico City**About the Role**We’re building the product data platform that will power Salesforce’s next era of agentic intelligence — delivering smarter, adaptive, and self-optimizing product experiences.As a Full-Stack Data Engineer, you’ll design and build scalable systems that process hundreds of thousands of context-rich product signals. These signals fuel analytics, customer-facing products, ML models, and autonomous agents.You’ll work on:- Near real-time and batch telemetry pipelines for trusted signal capture- Semantic layers and data products for reusable insights- Programmatic discovery via metadata, MCP, and knowledge graphsThis isn’t a typical data engineering role. We’re looking for creative, systems-minded engineers working outside of the “data engineer” box, fluent in both data and AI, and excited to navigate ambiguity, cross boundaries, and drive real impact.**What You’ll Do**- Build and scale fault tolerant batch and streaming data pipelines using Spark, Trino, Flink, Kafka, DBT- Design programmatic consumption layers to make product signals easy to define, discover, and reuse- Evolve systems to support not just human analysis, but autonomous agent reasoning- Contribute to a trusted data foundation powering decisions, AI agents, and adaptive products- Collaborate across orgs with telemetry engineers, product leaders, data scientists, and AI builders**What We’re Looking For**- 8+ years of experience in data engineering, with strong software engineering fundamentals- Expertise with big data frameworks: Spark, Trino/Presto, DBT, Snowflake- Experience with streaming systems like Flink and Kafka, incl. distribution strategy (topics & partitions)- Solid understanding of semantic layers, data modeling, and metrics systems- Experience with cloud infrastructure, particularly AWS (e.g., S3, EMR, ECS, IAM), Containerization- Bonus: fluency in AI data engineering patterns and tools like MCP- Bonus: experience with knowledge graphs and modern metadata systems- Strong communicator and collaborator — comfortable working across teams and domains- Curious, pragmatic, and impact-driven mindset**Why Join Us**Help shape how Salesforce leads the digital labor revolution. You’ll be at the heart of transforming raw product signals into intelligent decisions — for everyone from engineers to sales reps to AI agents. If you’re excited to design resilient, trusted, and intelligent systems at scale, we’d love to hear from you.Unleash Your PotentialAccommodationsPosting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.