Job Title: Principal Member of Technical Staff (PMTS) - Data Engineering & Data Science

Employment Type: Full-time

Position Overview

Salesforce Research advances state-of-the-art AI techniques, developing models and prototypes that pave the path for innovative products at Salesforce. We tackle real-world problems in areas such as image recognition and natural language processing from Salesforce's enterprise customers by harnessing the latest deep learning techniques. As part of our team, you’ll learn unique skills, work with talented people, and help us shape the future of AI in Palo Alto and our recently announced new hub, Salesforce Research Asia in Singapore!

We are seeking a highly skilled and experienced Principal Member of Technical Staff (PMTS) to join our dynamic team. This unique role combines deep expertise in data engineering and data science with strong software engineering principles, all within the context of the Salesforce ecosystem. The ideal candidate will be instrumental in designing, building, and deploying robust data pipelines, developing advanced analytical models, and integrating data-driven solutions directly into our Salesforce platform and related applications. This role requires a pragmatic leader who can bridge the gap between complex data challenges and scalable, production-ready software solutions.

Responsibilities

• Advanced Data Modeling & Architecture:
  • Lead the design and implementation of sophisticated data models, applying best practices for scalability, performance, and data integrity.
  • Architect data solutions that support complex analytical requirements and large-scale data transformations, ensuring adherence to enterprise data governance standards.
• High-Throughput Data Processing & Transformation:
  • Develop, optimize, and manage highly efficient ETL/ELT pipelines capable of processing high volumes of data with low latency.
  • Orchestrate complex data workflows for seamless data integration from diverse sources, ensuring data quality and consistency.
• Data-Driven Security Solutions:
  • Design and implement data models and solutions that integrate security considerations, including role-based access controls and data auditing, to ensure data privacy, compliance, and governance.
  • Collaborate on defining and implementing data schemas for security events, aligning with industry best practices for secure data handling.
• Scale & Performance Optimization:
  • Drive initiatives to optimize query performance and enhance the overall scalability and reliability of data infrastructure.
  • Implement solutions for near-real-time analytics and monitoring to ensure high availability and responsiveness of critical data systems.
• Data Modeling & Analysis:
  • Develop, validate, and deploy advanced statistical models, machine learning algorithms, and predictive analytics solutions to extract actionable insights from large and complex datasets.
• Software Engineering for Data Products:
  • Write clean, maintainable, and well-tested code to integrate data science models and data pipelines into production systems, including Salesforce applications, APIs, and microservices.
• Salesforce Integration:
  • Leverage Salesforce platform capabilities (e.g., Apex, Visualforce, Lightning Web Components, Salesforce APIs, Heroku, MuleSoft) to ensure seamless data flow, model deployment, and user experience.

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the Salesforce.

Application Instructions

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you not duplicating efforts.

Location Type: [Information not provided] Salary: [Information not provided] Job Category: Software Engineering