Principal Software Engineer, Salesforce, Data

Salesforce

Principal Software Engineer at Salesforce architecting and building scalable AI and data platforms. Leading engineering productivity through innovative solutions and collaborative leadership.

Posted 6/26/2026full-timeSan Francisco • California, New York, Washington • 🇺🇸 United StatesLead💰 $197,300 - $313,700 per yearWebsite

Tech Stack

Tools & technologies

AirflowCloudETLHerokuPythonSQL

About the role

Key responsibilities & impact

Define and drive technical strategy across Salesforce CRM, Data 360, enterprise data platforms, and AI-enabled engineering initiatives.
Architect and build large-scale applications using Salesforce Core, Apex, Lightning Platform, MuleSoft, Heroku, APIs, and cloud-native services.
Design and implement enterprise data products, data pipelines, and data services supporting customer, account, marketing, and operational use cases.
Build scalable integrations between Salesforce applications, Data 360, Snowflake, enterprise data warehouses, and external systems using APIs, streaming, and event-driven architectures.
Design and develop AI-powered engineering accelerators, developer tools, code generation frameworks, testing automation solutions, and operational tooling using Claude Code, Cursor, Windsurf, GitHub Copilot, and agentic AI technologies.
Partner closely with Product Managers, Architects, Data Engineers, and Software Engineers to define platform roadmaps and long-term architectural direction.
Drive the design of highly scalable data processing frameworks leveraging Airflow, Python, SQL, streaming technologies, CDC patterns, and modern cloud-native architectures.
Establish engineering standards for data quality, observability, platform reliability, governance, and operational excellence.
Mentor senior engineers and provide technical leadership across multiple teams and business domains.
Lead complex production investigations spanning applications, integrations, data pipelines, and platform services.

Requirements

What you’ll need

12+ years of experience across software engineering, platform engineering, data engineering, or enterprise application development.
Strong hands-on experience building applications on Salesforce technologies including Apex, Lightning Platform, CRM, APIs, MuleSoft, and Heroku.
Strong experience building enterprise-scale data platforms, data products, data pipelines, and data-intensive applications.
Deep expertise in Python, SQL, distributed data processing, orchestration frameworks, and modern data engineering practices.
Experience designing and operating large-scale ETL/ELT pipelines using Airflow or similar orchestration technologies.
Proven experience integrating application platforms with enterprise data ecosystems using APIs, streaming technologies, event-driven architectures, and cloud-native services.
Demonstrated experience building AI-powered developer tools, engineering productivity platforms, or software delivery accelerators using modern AI platforms such as Claude Code, Cursor, Windsurf, GitHub Copilot, or equivalent technologies.
Strong understanding of Generative AI, agentic workflows, MCP frameworks, and practical applications of AI within enterprise software engineering organizations.
Ability to influence technical direction across multiple teams and organizations while remaining deeply hands-on.
Proven ability to take complex technical initiatives from concept through production deployment.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Salesforce CRMApexLightning PlatformMuleSoftHerokuPythonSQLAirflowETLdata engineering

Soft Skills

technical leadershipmentoringinfluencingcollaborationproblem-solvingcommunicationstrategic thinkingoperational excellencegovernanceobservability