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 Engineer in PitchBook’s Finance Platform Automation division, you’ll drive the engineering initiatives that power our Finance technology stack. You’ll ensure seamless integration, data integrity, and scalability across Finance, Sales, and Customer Success systems.
This role blends technical leadership with hands-on development. You’ll mentor engineers, guide architecture, and deliver automation and data solutions aligned with strategic business goals. Leveraging expertise in Java, Python, workflow automation (Workato), data platforms (Snowflake), cloud technologies (AWS/GCP, Kubernetes, Docker), and messaging frameworks (Kafka), you’ll build high-performance, cloud-native systems that enhance automation and financial operations.
Primary Job Responsibilities
Mentor and lead the design and development of automation solutions for Finance and Revenue platforms
Deliver scalable, maintainable code focused on performance, reliability, and security
Provide architectural direction and uphold engineering best practices
Ensure the health and integration of Finance systems including Salesforce Billing, Oracle, Informatica, and Marketo
Lead initiatives to improve automation, workflow efficiency, and data consistency across the Finance ecosystem
Drive adoption of best practices in automation, test coverage, and cloud-native delivery
Partner with Product, Finance, Sales, and Data teams to translate complex technical needs into impactful business solutions
Maintain high standards for security, performance, and estimation accuracy
Identify and remove blockers early to ensure timely, high-quality releases
Skills and Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
7 + years in software engineering with deep experience in integration and workflow automation
3 + years leading engineering teams of 5 + members
Proficiency in Java/Python or Javascript
Experience integrating Salesforce, payment portals, collection tools, and ERP systems (Oracle)
Strong background in Kafka, Kubernetes, Docker, and cloud-scale architecture
Solid grasp of Agile, DevOps, and CI/CD pipelines
Excellent problem-solving, collaboration, and stakeholder-management skills
Background in FinTech preferred
Proven experience in leveraging AI tools and frameworks to improve engineering productivity and delivery efficiency
Experience designing or integrating AI-driven applications to enhance automation, data insights, or user experience
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.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
037_PitchBookDataInc PitchBook Data, Inc Legal EntitySkills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 7+ years in software engineering with deep experience in integration and workflow automation
- 3+ years leading engineering teams of 5+ members
- Proficiency in Java, Python, or JavaScript
- Experience with Workato (workflow automation)
- Experience with Snowflake (data platform)
- Experience with cloud platforms (AWS or GCP)
- Experience with Kubernetes and Docker
- Strong background with Kafka (messaging frameworks)
- Experience integrating Salesforce Billing, payment portals, collection tools, and ERP systems (Oracle)
- Experience with Informatica and Marketo
- Solid grasp of Agile, DevOps, and CI/CD pipelines
- Excellent problem-solving, collaboration, and stakeholder-management skills
- Proven experience leveraging AI tools and frameworks to improve engineering productivity and delivery efficiency
- Experience designing or integrating AI-driven applications to enhance automation or data insights
- Background in FinTech
Morningstar Compensation & Benefits Highlights
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Leave & Time Off Breadth — A recurring paid sabbatical and flexible time off in North America provide substantial time away and are presented as a signature differentiator. The program’s active use alongside paid volunteer days underscores broad time-off options.
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Parental & Family Support — A global standard for paid parental leave plus paid caregiving leave and adoption assistance signals robust family support. These policies are positioned as company-wide standards with location-specific administration.
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Equity Value & Accessibility — A shared ownership program enables converting part of a bonus into RSUs with a company match, adding long‑term value beyond salary. Performance-based RSU awards can further enhance equity outcomes for high achievers.
Morningstar Insights
What We Do
At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.
Why Work With Us
Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!
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Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.























