Principal Software Engineer, Data Platform

Job Description

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 Principal Member of Technical Staff for the Enterprise Data Platform is the primary technical architect responsible for modernizing, integrating, and optimizing Salesforce's foundational data ecosystem. You will serve as the technical "north star" for the engineering teams, bridging the world of modern distributed analytics with the cutting edge of Semantic AI. In this high-impact individual contributor role, you will architect the backbone of the company using technologies such as Snowflake, dbt, Informatica, and Airflow —while simultaneously designing and scaling our advanced Knowledge Graph Platform (Neo4j & TopQuadrant) . Your mission is to design the "paved path" where structured data flows effortlessly into high-value knowledge graphs to power BI, Advanced Analytics, and Generative AI. You will not just oversee the architecture; you will write the proof-of-concepts, define the code standards, and solve the most complex scalability challenges. Key Responsibilities Technical Strategy & Platform Architecture Architect the Roadmap: Define the long-term technical architecture for the Enterprise Data Platform. Translate business strategy into technical specifications, ensuring our stack allows for "Data Mesh" scalability and domain-oriented ownership. Infrastructure as Code (IaC) Evangelism: personally architect and review the Terraform/Helm configurations that define our infrastructure. Ensure that from Snowflake RBAC to Neo4j clusters, our platform is immutable, version-controlled, and reproducible. Performance Engineering: Deep dive into the hardest performance bottlenecks. Optimize query planners, data serialization formats (Parquet/Iceberg), and distributed compute costs across Snowflake and Spark. AI Enablement: Design the integration patterns for AI-assisted tooling (Cursor, MCP, Copilot) within the developer workflow to step-change developer velocity. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex sys

Required Skills