Principal Software Engineer, Salesforce & Data

Salesforce

Remote

Quick summary

Work type: Remote
Location: San Francisco, CANew York, NYSeattle, WAIndianapolis, IN
Salary: $197,300–$313,700 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k

This role $256k

$126k most similar roles pay here $334k

This role pays more than 92% of similar roles. Most pay $167,860–$211,200 — the shaded band above. At the midpoint, this role pays about $256k versus about $190k for comparable roles.

Based on 239 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 127 open roles on FindRole.

Listed pay typically runs $171,200–$260,100 across 107 roles with salary data.

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At a glance

TL;DR · Principal Software Engineer, Salesforce & Data

Role Posting Log in to save

As a Principal Member of Technical Staff (PMTS) in Salesforce’s unified engineering ecosystem, you will lead the technical strategy for CRM applications, Data 360, and AI-enabled development environments. Your day-to-day involves architecting large-scale systems using Salesforce Core, Apex, Lightning Platform, MuleSoft, Heroku, APIs, and cloud-native services while building scalable data pipelines and integrations with Snowflake and external systems. You will also develop AI-powered engineering tools to enhance developer efficiency and productivity. This role requires expertise in Python, SQL, distributed data processing, Airflow, and modern AI platforms like Claude Code and GitHub Copilot. Ideal candidates have over 12 years of experience in software engineering, data engineering, and enterprise application development, with a strong background in Salesforce technologies and large-scale ETL pipelines.

Skills

Salesforce Apex Lightning Platform MuleSoft Heroku Python SQL Airflow Snowflake Databricks Kafka Claude Code Cursor Windsurf GitHub Copilot Generative AI CI/CD Retrieval-Augmented Generation RAG Vector Databases AI Agents Semantic Search

What you'll do

Define and drive technical strategy for Salesforce CRM, Data 360, and AI initiatives.
Architect large-scale applications using Salesforce Core, Apex, Lightning Platform, MuleSoft, Heroku, APIs, and cloud-native services.
Design enterprise data products and pipelines supporting customer, account, marketing, and operational use cases.
Build scalable integrations between Salesforce applications, Data 360, Snowflake, and external systems using modern architectures.
Develop AI-powered engineering accelerators and developer tools to enhance software delivery efficiency.
Establish engineering standards for data quality, observability, platform reliability, governance, and operational excellence.

What we're looking for

12+ years of experience in software, platform, or data engineering.
Expertise in Salesforce technologies including Apex, Lightning Platform, and MuleSoft.
Deep knowledge of Python, SQL, distributed data processing, and modern data engineering practices.
Experience designing large-scale ETL/ELT pipelines using Airflow or similar tools.
Proven ability to integrate application platforms with enterprise data ecosystems using APIs and streaming technologies.
Demonstrated experience building AI-powered developer tools and productivity platforms.
Strong technical leadership skills and the ability to influence direction across multiple teams.

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