Manager, Engineering, Enterprise Data Platform

PitchBook Data•Seattle, WA

6h•$225,000 - $260,000•Onsite

About The Position

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the most 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, building data-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us!

Requirements

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

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

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