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

Requirements

Must-haves

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:
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
Bachelor’s or Master’s degree in Computer Science or Engineering
8+ years of experience in data engineering

Nice-to-haves

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
Employee referral bonus program

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aidockermlawsazuregcpsqlpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision

401k

Wellness