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Salesforce

Software Engineering Architect

Salesforce · San Francisco, California, US
full-timestaff (15-25 yrs)Posted 28d ago
Software EngineeringIC5IC + ManagementHybrid (2d)
StackJavaC#PythonGoSQLNoSQLMicroservicesDistributed SystemsSemantic Layer DesignData ModelingBI Engine ArchitectureCloud-Native ServicesServerless ArchitectureDevOpsCaching TechnologiesLLMsAI/MLBig DataDesign PatternsSystem ArchitecturePull Request ReviewPOC Development

Summary

Senior architect role on the Salesforce Tableau engineering team, focused on designing and governing a next-generation Semantic Layer for AI-driven data analytics at scale across distributed cloud environments.

About the role

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

Job Category

Software Engineering

Job Details

About Salesforce

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.

We are seeking a Software Engineering Architect to join the Salesforce Tableau engineering team. You will be instrumental in designing and architecting complex, data-driven software systems at scale, with a heavy focus on delivering a best-of-breed Semantic Layer for AI-based data analytics capabilities. As a key technical leader, you will shape the architecture, guide engineering teams in standard methodologies, and ensure the scalability, reliability, performance, and security of our products. You will work on high-impact projects and collaborate closely with Principal Architects.
Your Impact:
  • Architectural Design & Strategy: Define secure, scalable, and resilient architecture for large-scale, distributed, high-performance systems across multiple cloud environments. Ensure technical solutions align with customer needs, platform, other teas and business requirements.
  • Semantic Layer & AI Focus: Design, evolve, and govern the next generation of our semantic layer and data modeling framework. Drive the leverage of AI (LLMs and more) and analytic agentic capabilities by providing a unified, rich, and performant data interface.
  • Execution & Ownership: Be hands-on: write code and POCs, engage in pull requests, and remain close to the code. Simultaneously handle multiple complex, high-priority projects, ensuring architectural decisions support short- and long-term business objectives.
  • Technical Leadership & Optimization: Provide leadership and mentorship to engineering teams. Lead efforts to optimize system performance and scalability, and ensure high availability and resilience.
  • Collaboration & Documentation: Work closely with multi-functional teams (PMs, AI experts, engineers, and stakeholders) to define and implement architectural strategies. Create comprehensive documentation for architectural designs and decisions.
Required Skills:
  • Experience: 15+ years of professional software engineering experience, with at least 3+ years in an architectural role. Substantial experience in designing, building, or maintaining a semantic layer, data modeling framework, or BI engine.
  • Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
  • Core Technical Expertise:
    • Expertise in architecting and building large-scale, distributed systems and microservices.
    • Mastery and hands-on experience with modern programming languages (e.g., Java, C#, Python, Go).
    • Strong background in designing and implementing backend data systems (e.g., SQL generators, data modeling engines).
    • Experience with databases (SQL/NoSQL) and caching technologies.
    • Proficient in cloud-native services, serverless architectures, and DevOps practices.
    • Experience in data engineering, AI/ML, or big data architectures.
  • Architectural & Leadership Traits:
    • Strong analytical skills, with a deep understanding of design patterns and architectural frameworks.
    • Ability to independently craft and deliver large sophisticated projects.
    • Proven ability to drive project from ideation to smooth execution
    • High collaboration and communication skills with peers and stakeholders
Benefits & Perks:
Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.
Open to Flex (1-3 days/week in the office), or Office-Based (4-5 days/week in the office).

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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you require assistance due to a disability applying for open positions 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. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

What you'll do

1Define secure, scalable, and resilient architecture for large-scale distributed high-performance systems across multiple cloud environments
2Design, evolve, and govern the next generation of the Semantic Layer and data modeling framework for Tableau
3Drive leverage of AI (LLMs) and analytic agentic capabilities by providing a unified, rich, performant data interface
4Write code and POCs, engage in pull requests, and remain hands-on with engineering execution
5Handle multiple complex high-priority projects simultaneously, ensuring architectural decisions support short- and long-term business goals
6Provide technical leadership and mentorship to engineering teams
7Lead efforts to optimize system performance, scalability, high availability, and resilience
8Collaborate with cross-functional teams (PMs, AI experts, engineers, stakeholders) to define and implement architectural strategies
9Create comprehensive documentation for architectural designs and decisions
10Work closely with Principal Architects on high-impact initiatives

Requirements

15+ years of professional software engineering with 3+ years in an architectural role, including hands-on experience designing semantic layers, data modeling frameworks, or BI engines
Deep expertise architecting large-scale distributed systems and microservices across multiple cloud environments with a focus on scalability, resilience, and high availability
Strong proficiency in multiple modern programming languages (Java, C#, Python, Go) with hands-on coding ability including writing POCs and engaging in code reviews
Substantial background in backend data systems including SQL generators, data modeling engines, and both SQL and NoSQL databases with caching technologies
Experience in data engineering, AI/ML, or big data architectures, with ability to integrate LLMs and agentic AI capabilities into data platform design

Nice to have

Agentforce
Tableau
SQL Generators
Analytic Agentic Capabilities
Multi-cloud Architecture
Apache Spark
Kubernetes

Role overview

Role family
Software Engineering
Level
IC5 — platform
Experience
15–25 years
Type
Hybrid (IC + Management)
Remote policy
Hybrid (2 days)
Visa sponsorship
Not offered

Tech stack analysis

LANGUAGES
JavaC#PythonGo
DATABASES
SQL (relational)NoSQL
INFRASTRUCTURE
Cloud-native servicesServerless architectureMulti-cloud environmentsDevOps tooling
TOOLS
Caching technologies (e.g., Redis)SQL generatorsData modeling enginesLLMs

Salary estimate

$250K – $380K
AI-estimated salary range
Confidence78%
Reasoning

Salesforce architect roles in San Francisco at the 15+ year experience level with a staff/principal classification typically command total compensation of $250K–$380K+. Base salary likely ranges $180K–$250K with equity (RSUs), performance bonuses, and benefits bringing total comp significantly higher. Benchmarked against Levels.fyi and Glassdoor data for Salesforce Staff/Principal Engineer and Architect roles in SF Bay Area as of early 2026.

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Green flags

5 items
High-impact role at the cutting edge of AI + data analytics (Agentforce, LLMs, Semantic Layer), offering clear technical leadership trajectory alongside Principal Architects.growth

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Benefits breakdown

HEALTH & WELLNESS
Wellbeing reimbursement
Fertility benefits
Disability accommodations support

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Hiring insights

JD quality
7/10
Urgency
medium
Autonomy
high
Team size
large (15+)

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Red flags

PRO4 items
No salary range disclosed — notable given California's pay transparency laws (SB 1162). Candidates cannot assess compensation fit upfront.compensation

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Interview insights

PRO
Rounds
5
Duration
4 wks
Difficulty
hard
Take-home
No

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Career path

PRO
Next roles
Principal ArchitectDistinguished EngineerVP of Engineering / CTO track

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About the company

Salesforce is the world's #1 CRM platform, serving over 150,000 companies with cloud-based sales, service, marketing, and analytics tools. With products like Sales Cloud, Service Cloud, and the Einstein AI platform, Salesforce powers customer relationships for enterprises from startups to Fortune 500 companies across every industry.

HQSan Francisco, CA, USA
Interview difficultyhard
Build vs Maintainboth
Cross-functionalYes