Principal Software Engineer, Data Platform

🕒 December 10, 2025

🏢🏡 San Francisco – Hybrid

💵 $230.8k - $334.6k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

SaaS • B2B • Artificial Intelligence

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• Architect the Roadmap: Define the long-term technical architecture for the Enterprise Data Platform. • Translate business strategy into technical specifications. • Evangelize Infrastructure as Code (IaC). • Performance Engineering: Deep dive into the hardest performance bottlenecks. • AI Enablement: Design the integration patterns for AI-assisted tooling within the developer workflow. • Lead the technical design of "Graph RAG". • Design self-healing systems and monitoring frameworks. • Act as a technical mentor to Senior and Lead engineers.

🎯 Requirements

• 10+ years of software engineering experience, with at least 5 years focused on backend distributed systems or data infrastructure at scale. • Deep Engineering Roots: You are an expert coder (Python, Java, or Go) who grew up building software. • Architectural Expertise: Proven track record of designing large-scale data platforms. • Core Stack Mastery: Hands-on expert-level knowledge of Snowflake (internals/clustering), dbt (macro design/Jinja), Airflow (scheduler internals), and Tableau. • Graph Database Expertise: Deep understanding of Graph theory and implementation. • Cloud Native Native: Mastery of AWS/GCP services (IAM, VPC, PrivateLink, S3/GCS) and container orchestration (Kubernetes/EKS). • AI/LLM Integration: Experience implementing RAG architectures, vector databases, or integrating LLMs into data pipelines. • Influence & Communication: Ability to write clear, persuasive Request for Comments (RFCs) and architectural decision records (ADRs).

🏖️ Benefits

• time off programs • medical • dental • vision • mental health support • paid parental leave • life and disability insurance • 401(k) • employee stock purchasing program