Salesforce

4 weeks ago

Principal Software Engineer, Salesforce & Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead across software engineering, data engineering, and AI to define technical strategy and build scalable data-centric platforms; mentor engineers and drive platform roadmaps, integrating CRM, data pipelines, and AI-powered tooling across enterprise systems.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 197,300 - 313,700 annually

Perks:Health Insurance401kEquity

Key Requirements

•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.

Experience:12+ yearsEnterprise softwareAIData engineeringCRM

Skills:ApexLightning PlatformCRMAPIsMuleSoftHerokuPythonSQLAirflowETLELTData pipelinesSnowflakeDatabricksKafkaCDCCloud

Languages:English

Tech Stack:ApexLightning PlatformMuleSoftHerokuAPIsPythonSQLAirflowSnowflakeDatabricksKafkaCDCCloudGitHub CopilotClaude CodeCursorWindsurf

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Salesforce

4 weeks ago

Principal Software Engineer, Salesforce & Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 197,300 - 313,700 annually

Perks:Health Insurance401kEquity

Key Requirements

•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.

Experience:12+ yearsEnterprise softwareAIData engineeringCRM

Skills:ApexLightning PlatformCRMAPIsMuleSoftHerokuPythonSQLAirflowETLELTData pipelinesSnowflakeDatabricksKafkaCDCCloud

Languages:English

Tech Stack:ApexLightning PlatformMuleSoftHerokuAPIsPythonSQLAirflowSnowflakeDatabricksKafkaCDCCloudGitHub CopilotClaude CodeCursorWindsurf

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor