Bachelor's or Master's degree in Computer Science, Engineering, or related field
7+ years of Salesforce development experience, including 3+ years of team leadership
Deep expertise in Salesforce CPQ, Billing, Revenue Cloud, and Payment Platforms, including APEX, Triggers, and Flows
Proven experience integrating Salesforce with systems like Oracle, Workato, Stripe, Informatica, and Snowflake
Proficiency in Java, Python, JavaScript, Apex(any one)
Strong understanding of Salesforce AI ecosystem, including Agentforce and automation tools
Experience with Agile, DevOps, and CI/CD pipelines (Gearset, GitLab)
Demonstrated ability to architect secure, scalable, high-performance backend systems
Excellent problem-solving, communication, and stakeholder management skills
Background in Finance, FinTech, or B2B SaaS environments preferred
Morningstar is an equal opportunity employer.
Working Conditions
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
At PitchBook, our Product & Engineering team is made up of big thinkers, innovators, and problem-solvers who aim to make a meaningful impact on our customers and company every day. We value curiosity, customer empathy, and the drive to find better ways of doing things. Our work blends creativity with technical expertise to deliver world-class customer experiences through product innovation.
As a Lead Salesforce Engineer within our Revenue Platform Engineering division, you will architect, build, and optimize scalable solutions that power PitchBook's Finance technology ecosystem. You'll play a key role in enhancing end-to-end revenue operations-from quote-to-cash and billing to payments and reporting-by ensuring seamless integrations and high-performing Salesforce systems.
This role blends technical depth, business acumen, and leadership. You'll partner with Finance, Sales, Customer Success, and Product teams to design future-ready solutions, drive automation, and lead initiatives that improve scalability and business outcomes. You'll also mentor engineers, champion best practices, and guide adoption of AI and automation technologies within the Salesforce landscape.
Primary Job Responsibilities
Mentor and lead the design and development of automation and integration solutions for revenue platforms
Deliver high-quality, scalable code aligned with best engineering practices
Ensure backend systems, Salesforce data models, and business workflows are seamlessly integrated
Oversee performance, scalability, and integration of Salesforce across the Quote-to-Cash lifecycle
Manage data flows between Salesforce and systems like Oracle, Sidetrade, Stripe, Informatica, Workato, and Snowflake
Drive automation and proactive monitoring to improve system reliability and maintainability
Provide architectural guidance and technical mentorship across teams
Define and enforce standards for design, coding, and CI/CD practices using Gearset and GitLab
Partner with Product and Finance leaders to translate requirements into scalable Salesforce solutions
Align engineering priorities with company goals through transparent communication and planning
Maintain high standards of estimation accuracy, code quality, and system performance
Identify and resolve risks, bottlenecks, and integration challenges early
Uphold security, compliance, and data governance standards
Explore and implement emerging Salesforce and AI capabilities (e.g., Agentforce, AI agents) to drive automation and predictive insights
Evaluate and integrate modern tools to enhance the Finance tech stack
Foster a culture of technical excellence and continuous improvement
Morningstar · Mumbai, India