Lead Software Development Engineer, Finance Platform Automation

Reposted One Month Ago
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Mumbai, Maharashtra, IND
Hybrid
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
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The Role
Lead engineering and hands-on development for Finance platform automation: design scalable cloud-native integrations across Finance, Sales, and Customer Success systems; mentor engineers; drive architecture, automation, test coverage, and security; partner with product and business teams to deliver reliable, high-performance automation and data solutions.
Summary Generated by Built In

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 Entity

Skills 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

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The Company
HQ: Chicago, IL
11,500 Employees
Year Founded: 1984

What We Do

We are a global investment research and financial data company with 40-plus offices across North America, Europe, Australia, and Asia. Our products and services are used daily by individual investors, financial advisors, asset managers, retirement plan providers, and institutional investors. We provide data, research, and analysis across managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. The financial system can have real barriers—hidden information, friction that can slow decisions, and forces that can limit transparency and access. We work to remove them, bringing independent research, connected data, and investor-first tools to a system that needs more clarity. The people doing this work span research, technology, design, product, sales, and functional areas. We build many of our products in-house, so the work can connect directly to the tools investors use to make real financial decisions.

Why Work With Us

Morningstar’s missing is to empower investor success. We can only do that if our people feel empowered. That means finding people who think independently, bring a wide range of backgrounds with analytical rigor and genuine intellectual curiosity to the work.

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About our Teams

Morningstar Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Across most of our offices globally, employees work four days a week in the office and one day from home. We recognize that life doesn't always fit a fixed schedule and offer programs that can help provided increased workplace flexibility.

Typical time on-site: 4 days a week
Company Office Image
HQGlobal Headquarters
Ambler, Pennsylvania
Amsterdam - De Oliphant
Bucuresti, Bucuresti
Cape Town, Western Cape
Dubai
Edinburgh, Scotland
Frankfurt - Junghofstraße
Frankfurt - Neue Mainzer Straße
New Delhi
Hong Kong
London - Oliver's Yard
London - Saffron House
Madrid, Comunidad de Madrid
Milano, Lombardia
Mumbai - Platinum Park
Mumbai - Vishwaroop
New York - Broadway
New York - Park Ave
Paris, Ile-de-France
San Francisco, California
PitchBook US Headquarters
Sham Chun Hu, Guangdong
Singapore, Singapore
Stockholm - Birger Jarlsgatan
Sydney - International Tower
Timisoara, Timis
Tokyo - Minato-ku
Company Office Image
Toronto, ON
Zürich, Zurich
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