Principal Software Engineer, Salesforce & Data

Salesforce; Seattle (WA); On-site; USD 197,300 - 313,700; Full time

Job summary

Salesforce, located in Seattle, is seeking an experienced Software Engineer to lead technical strategy and build large-scale applications within Salesforce's ecosystem. The ideal candidate will have over 12 years of software engineering experience, particularly with Salesforce technologies, and will drive innovation.

This role involves defining platform roadmaps, architecture design, and mentoring teams, offering a competitive salary range of $197,300 - $313,700 annually. Join Salesforce and unleash your potential!

Qualifications

• 12+ years of experience in software or data engineering.
• Strong hands-on experience with Salesforce technologies.
• Deep expertise in Python and SQL.

Responsibilities

• Define and drive technical strategy across Salesforce products.
• Architect and build large-scale applications.
• Mentor senior engineers and provide technical leadership.

Skills

Software engineering

Data engineering

Salesforce technologies (Apex, Lightning)

Python

SQL

ETL/ELT pipelines

AI-powered developer tools

Job description

Overview

Job Category: Software Engineering

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place. Agentforce is the future of AI, and you are the future of Salesforce.

What You'll Actually Be Doing

• 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.

You're Our Person If...

• 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.

Even Better If...

• Experience with Salesforce Data Cloud (Data360), Customer 360, Identity Resolution, Data Modeling, Segmentation, Activations, or Customer Data Platforms.
• Experience building marketing technology, personalization, customer engagement, or campaign management applications.
• Experience with Snowflake, Databricks, Kafka, CDC frameworks, and modern cloud data platforms.
• Experience building customer identity, profile, account hierarchy, master data, or knowledge graph solutions.
• Experience with Retrieval-Augmented Generation (RAG), vector databases, AI agents, semantic search, or AI-native application architectures.
• Experience building internal developer platforms, engineering productivity systems, CI/CD automation, or product engineering solutions.
• Experience working across both application engineering and data engineering domains at enterprise scale.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Salesforce uses artificial intelligence (AI) tools to help recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Salary Information

In the United States, the typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. More details about company benefits can be found at: https://www.salesforcebenefits.com.