> Markdown version of [/jobs/ext/4615618-lead-salesforce-engineer](https://www.wearedevelopers.com/jobs/ext/4615618-lead-salesforce-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Salesforce Engineer

- **Company:** Factset Research Systems Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $160,000 - $175,000
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Application Programming Interfaces (APIs), Cloud Computing, Software Quality, Code Review, Continuous Integration, Customer Data Management, DevOps, Systems Development Life Cycle, Cloud Services, Copado, Salesforce.Com, Systems Integration, Apex Code, SOAPAPI, Technical Debt, Git, Salesforce Sales Cloud, Event Driven Architecture, Information Technology, Salesforce Object Query Language (SOQL)
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-salesforce-engineer-chicago-il--fda4ce04-ed43-489d-9b14-d90fe8626ec3

## About the Role

Salesforce.com, Financial Analysis, Business Operations, Business Development, Partner Sales, Technical Delivery, Business Support, Operational Support, Salesforce.com, Leadership, * 8+ years of hands-on Salesforce development experience in enterprise Sales Cloud and Service Cloud environments.

Critical Skills:

 * 3+ years of deep, hands-on Salesforce CPQ and Conga CLM experience (mandatory), including pricing, product rules, quote templates, amendments and renewals.
 * Advanced expertise in Apex, Lightning Web Components, Aura and asynchronous processing (Batch, Queueable, Scheduled Apex, Platform Events).
 * Strong understanding of Salesforce data architecture, sharing/security, large data volumes, SOQL optimization and governor limits.
 * Experience designing integrations using REST/SOAP APIs, Bulk API, Named Credentials and event-driven architectures.
 * Proven ability to independently architect and implement complex solutions across multi-cloud Salesforce environments.
 * 2+ years of technical leadership through solution design, code reviews, technical guidance or mentoring.

Additional Skills:

 * Strong analytical, problem-solving and communication skills, with the ability to collaborate across technical and business teams.
 * Salesforce CPQ, Platform Developer I/II certification.
 * Experience with Copado, Git-based development, CI/CD and Salesforce DevOps practices.
 * Experience collaborating with globally distributed engineering teams.

Education:

Bachelor's degree in computer science, Engineering or a related discipline, or equivalent professional experience.

The budgeted salary range for this position in Connecticut and New York is $160,000 - $175,000.

## Description

We are seeking a seasoned, hands-on Lead Salesforce Engineer to design and deliver complex enterprise solutions supporting 3,000+ users across Sales Cloud, Service Cloud, Salesforce CPQ and Conga CLM. This is an individual contributor role combining deep technical expertise, solution architecture and collaborative engineering leadership., * Lead technical design and hands-on development of scalable solutions across Salesforce clouds, CPQ and Conga CLM.

 * Own complex implementations from requirements through production, emphasizing performance, governor-limit safety, security and maintainability.
 * Translate business requirements into technical designs, evaluating architectural options and trade-offs.
 * Drive engineering best practices across Apex, LWC, automation frameworks, data modeling, integrations, code quality and SDLC.
 * Participate in design and code reviews, mentor engineers and promote consistent development standards.
 * Partner with administrators, consultants and operations teams to align declarative and programmatic solutions.
 * Proactively identify and address technical debt, platform scalability risks and org-health concerns.
 * Evaluate Salesforce platform enhancements and opportunities to improve reliability, automation and data quality.