---
title: 'Manager, Engineering, Enterprise Data Platform at PitchBook Data'
canonical: 'https://feeny.ai/job/manager-engineering-enterprise-data-platform-pitchbook-data-seattle-washington-dqfn8bwc3ky5'
type: 'job'
last_seen: '2026-09-21'
---

# Manager, Engineering, Enterprise Data Platform at PitchBook Data

- **Company:** PitchBook Data
- **Location:** Seattle Washington, United States
- **Posted:** 2026-09-17
- **Last confirmed live:** 2026-09-21
- **Apply:** https://job-boards.greenhouse.io/pitchbookdata/jobs/4712431006

## Job description

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.

If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

As a Data Engineering Manager within the Enterprise Data Platform team at PitchBook, you will lead a team of skilled data engineers responsible for building and optimizing data pipelines, managing large-scale data models, and ensuring the quality, availability, and performance of enterprise data assets. This leadership role combines technical depth, strategic thinking, and people management to enable PitchBook’s data-driven decision-making and analytics capabilities.

You’ll collaborate closely with cross-functional partners across Technology & Engineering, Product, Sales, Marketing, Research, Finance, and Administration to deliver robust, scalable data solutions. The ideal candidate is a hands-on leader with a strong background in modern data platforms, cloud architecture, and team development—someone passionate about empowering teams and improving data capabilities across the organization.

This is both a strategic and hands-on leadership role: you will guide architectural decisions, mentor engineers, collaborate with cross-functional leaders, and contribute to building next-generation data and AI capabilities at PitchBook. You will exhibit a growth mindset, be willing to solicit feedback, engage others with empathy, and help create a culture of belonging, teamwork, and purpose. If you love leading a team of passionate data engineers and building data-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us!

Primary Job Responsibilities:

- Lead, mentor, and retain top talent and develop a team of data engineers, fostering a culture of excellence, accountability, and continuous improvement
- Define and drive the data engineering roadmap aligned with enterprise data strategy and business objectives
- Collaborate with senior technology and business leaders to define data platform priorities, architecture, and long-term vision
- Promote a culture of innovation, operational rigor, and customer empathy within the data organization
- Oversee the design, development, and maintenance of high-quality data pipelines and ELT/ETL workflows across enterprise systems and PitchBook’s platform
- Ensure scalable, secure, and reliable data architectures using modern cloud technologies (e.g., Snowflake, Airflow, Kafka, Docker)
- Lead AI learning initiatives and integrate AI/ML-driven solutions into data products to enhance automation, predictive insights, and decision intelligence
- Champion data quality, governance, lineage, and compliance standards across the enterprise data ecosystem
- Partner with engineering and infrastructure teams to optimize data storage, compute performance, and cost efficiency
- Support career development through mentoring, skill-building, and performance feedback
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested

Basic Qualifications:

- Bachelor’s or Master’s degree in Computer Science or Engineering
- 8+ years of experience in data engineering
- 2+ years of leadership experience managing technical teams
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Preferred Qualifications:

- Proven experience designing and maintaining large-scale data architectures, pipelines, and data models in cloud environments (e.g., Snowflake, AWS, Azure, or GCP)
- Advanced proficiency in SQL and Python for data manipulation, transformation, and automation
- Deep understanding of ETL/ELT frameworks, data orchestration tools (e.g., Airflow), and distributed messaging systems (e.g., Kafka)
- Strong knowledge of data governance, quality, and compliance frameworks
- Experience working with enterprise data sources (CRM, ERP, Marketing Automation, Financial Systems, etc.) is preferred
- Hands-on experience with AI/ML platforms, model deployment, or data-driven automation is a strong plus
- Excellent communication and stakeholder management skills with the ability to translate complex data concepts into business value
- Demonstrated ability to build high-performing teams and lead through change

Benefits + Compensation at PitchBook:

Physical Health

- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance

Emotional Health

- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days

Social Health

- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events

Financial Health

- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

## Compensation

- Annual base salary: $225,000-$260,000
- Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

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.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

## #LI-TK1

#LI-Onsite

## About PitchBook Data

## Company Overview
- **One-liner**: PitchBook provides comprehensive data, research, and technology for the global private and public capital markets, helping investment professionals make informed decisions.
- **Entity Type**: Public (subsidiary of Morningstar, Inc.)
- **Headquarters**: Seattle, Washington, United States
- **Founded**: 2007
- **Founders**: John Gabbert

## Core Business
- **Primary industry/industries**: Financial Data & Analytics, Private Capital Markets, Venture Capital, Private Equity
- **Target customers**: B2B; investment professionals including private equity firms, venture capital firms, investment banks, corporate development teams, and asset managers.
- **Mission or purpose statement**: To empower investors to allocate and deploy capital with conviction, back bold ideas, and navigate complexity with confidence. [pitchbook.com](https://pitchbook.com/about)

## Products & Services
- **PitchBook Platform**: A dynamic suite of software applications providing comprehensive data, research, and insights spanning global capital markets. It includes modules for deal sourcing, due diligence, portfolio management, benchmarking, and market intelligence. [pitchbook.com](https://pitchbook.com/)
- **PitchBook Data & Research**: In-depth datasets and analyst research covering private equity, venture capital, M&A, and public markets.
- **PitchBook News**: Real-time news and analysis on private capital markets.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed as a standalone entity; acquired by Morningstar in 2016 for $225 million. [linkedin.com](https://www.linkedin.com/company/pitchbook)
- **Key Metric**: Annual Revenue of $671.8 million (as per LinkedIn data). [linkedin.com](https://www.linkedin.com/company/pitchbook)
- **Notable Investors/Partners**: Parent company is Morningstar, Inc. Prior investors included Morningstar (led Series A and Series B rounds). [linkedin.com](https://www.linkedin.com/company/pitchbook)
- **Growth Signals**: Operates in 16 countries with offices in Seattle, London, New York, San Francisco, and Singapore. Employs 1,280 people. [linkedin.com](https://www.linkedin.com/company/pitchbook)

## Competitive Advantages
- **Unrivaled Data Depth**: Offers the most comprehensive, accurate, and timely intelligence on private capital markets, covering the entirety of global public and private markets. [pitchbook.com](https://pitchbook.com/about)
- **Integrated Platform**: A dynamic suite of products (Deal Sourcing, Due Diligence, Portfolio Management, etc.) that surfaces critical information for clients, reducing time spent on data gathering.
- **Trusted Market Position**: Described as the "pulse of private capital markets" and a trusted, real-time intelligence leader, relied upon by top investment firms. [pitchbook.com](https://pitchbook.com/about)
- **Morningstar Backing**: As a subsidiary of Morningstar, PitchBook benefits from significant resources, stability, and a global brand reputation.

## Strategic Focus
- **Product Expansion**: Continues to enhance its platform with new features and datasets, including AI/ML capabilities (e.g., a Manager of Engineering, AI & ML is a current hire). [job-boards.greenhouse.io](http://job-boards.greenhouse.io/pitchbookdata)
- **Global Growth**: Expanding its international footprint, with recent office openings in Singapore (2022) and a growing presence in London and Tokyo. [pitchbook.com](https://pitchbook.com/careers)
- **Data & Technology Leadership**: Investing heavily in data engineering, machine learning, and product management to maintain its competitive edge in data accuracy and platform intelligence.

## Why Work Here
- **Culture & Values**: Emphasizes a collaborative environment where employees are empowered to do meaningful work. Strong focus on belonging with multiple Employee Resource Groups (ERGs) including ASPIRE (Asian/Pacific Islander), BCA Black Panthers, La Cultura, PB Cares, Prism (LGBTQIA+), and Women’s Initiative (WIN). [pitchbook.com](https://pitchbook.com/careers)
- **Work Model**: Hybrid/office-based roles across multiple global hubs (Seattle, London, New York, San Francisco, Singapore). [pitchbook.com](https://pitchbook.com/careers)
- **Benefits & Perks**: Generous paid time off, paid holidays, volunteer time off, sabbatical eligibility after four years, retirement options (fixed or matching employer contribution), paid parental leave, professional development stipends, annual wellness stipend, company matches for charitable donations, and caregiving assistance. [pitchbook.com](https://pitchbook.com/careers)
- **Interview Process**: Structured process including an application, recruiter phone screen, aptitude assessment and personality survey, virtual meeting with hiring manager, in-person interview round, and a final decision. [pitchbook.com](https://pitchbook.com/careers)
- **Engineering Culture**: Heavy investment in technology with roles for Lead Software Development Engineers, Data Engineers, and Machine Learning Engineers, indicating a strong, data-driven engineering culture. [job-boards.greenhouse.io](http://job-boards.greenhouse.io/pitchbookdata)

## Sources
1. [pitchbook.com](https://pitchbook.com/about)
2. [pitchbook.com](https://pitchbook.com/careers)
3. [pitchbook.com](https://pitchbook.com/)
4. [job-boards.greenhouse.io](http://job-boards.greenhouse.io/pitchbookdata)
5. [linkedin.com](https://www.linkedin.com/company/pitchbook)

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