Sr. Director of Engineering, Data Collections Technology
$290k - $340kPitchBook
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 core team of globally distributed Software Engineers, we are responsible for the architectural integrity and operational excellence of mission-critical systems, including the core ETL/ELT infrastructure, data storage services, and the frameworks that ensure robust data quality and governance.
We operate as a center of excellence for platform delivery, driving high-leverage outcomes by collaborating cross-functionally, cross-divisionally, and across business units. The Sr. Director of this team, reporting to the Sr. Director of Engineering, Data Collections Technology, will partner closely with Data Operations to industrialize data collection workflows, Data Collections Product to define platform capabilities, and peer Engineering teams to standardize best practices for large-scale data ingestion and processing. Our success is measured by the reliability, efficiency, and throughput of our data processing infrastructure, directly enabling the business to accelerate coverage and deliver timely insights to our customers.
As a Sr. Director of Data Collections Technology, you will define and execute the comprehensive technology strategy for acquiring, processing, and integrating PitchBook's proprietary public and private market data. You will be directly accountable for building and operating the end-to-end Data Collection Platform, encompassing robust, scalable ingestion pipelines, resilient data storage solutions, and the intelligent systems that ensure PitchBook's data is as accurate, comprehensive, and timely as possible.
In this high-impact role, you will lead a diverse, global organization of Engineers driving both architectural innovation and operational excellence for mission-critical systems. You will define the multi-year technical roadmap for automation, scalability, and quality across all core data domains, ensuring the entire technology stack delivers production-grade reliability and directly powers PitchBook's data ingestion and platform accuracy.
Your leadership will guide the design, deployment, and optimization of the entire technology ecosystem, from low-latency data acquisition services to coordinating with centralized AI/ML teams to leverage advanced AI-driven extraction and enrichment models (e.g., document AI, entity resolution, and quality validation). You will also play a key role in shaping the data collections strategy across all of PitchBook and our parent company Morningstar, in collaboration with Product, Data Operations, and the core Engineering teams, ensuring consistency, reliability, and alignment with overarching business outcomes.
This role demands a technically credible and outcome-oriented leader with an AI first mindset. One who can balance strategic accountability with hands-on technical oversight, and who can influence executive stakeholders across the organization while ensuring the continued growth and professional development of a globally distributed, high-performing technical team.
Primary Job Responsibilities:
- Define and execute the unified platform technology strategy for data acquisition, processing, and management across the organization with an AI first mindset
- Partner with senior leadership to define the multi-year engineering roadmap that drives scalability, reliability, and cost-efficiency in data collection
- Establish and own operational KPIs for platform throughput, latency, and system availability across all production environments
- Lead, hire, and develop a high-performing global team of platform and software engineers; define clear roles and technical career progression
- Foster a culture of engineering excellence, ownership, and accountability for critical production systems across distributed offices
- Champion hiring, technical mentorship, and professional development initiatives to grow internal platform engineering talent
- Elevate engineering excellence through technical guidance, design reviews, and architectural decision records (ADRs) for core platform engineers
- Act as a multiplier by shaping and enforcing best practices for distributed systems design, CI/CD, and data pipeline governance
- Guide and influence cross-functional, cross-division, and cross-business unit teams toward cohesive, reusable, and standards-aligned platform architectures
- Collaborate closely with Engineering, Product, and Data Operations to ensure seamless delivery and integration of core platform services into collection workflows
- Partner with data quality and governance teams to define and embed platform-level data quality frameworks and compliance standards
- Serve as the trusted technical and strategic advisor on data collection platform capabilities to stakeholders across the business
- Oversee the end-to-end lifecycle of the unified data collection platform, from architectural planning to deployment, monitoring, and optimization
- Ensure high availability, nine-nines reliability, and performance of all mission-critical production platform services
- Implement and maintain strong standards of data integrity, security, and governance across all platform components and data pipelines
- 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, Software Engineering, or a related technical discipline (Master's degree preferred)
- 12+ years of experience in large-scale software engineering or platform architecture, including 10+ years leading technical teams; experience managing managers and geographically distributed teams is strongly preferred
- Proven success designing and delivering high-throughput, low-latency data ingestion and processing platforms at scale within a commercial environment
- Deep, practical expertise in distributed systems architecture (e.g., event-driven architecture, microservices, stream processing), data modeling, and designing for system reliability and fault tolerance
- Expert-level knowledge of cloud-native architecture (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and modern infrastructure-as-code (IaC) principles
- Proficiency in managing and optimizing large-scale ETL/ELT pipelines and ensuring data governance and integrity within a complex, regulated data environment
- Strong understanding of DataOps and MLOps principles as they apply to platform tooling, including automated deployment, monitoring, and performance optimization for critical data infrastructure
- Demonstrated ability to define, communicate, and execute multi-year platform engineering roadmaps with measurable business impact on reliability and efficiency
- Excellent communication, collaboration, and influencing skills-including experience presenting technical strategy to executive and cross-functional leadership
- A track record of fostering technical excellence, quality assurance, and a security-first mindset across global, multidisciplinary teams
- Experience in fintech, core data platforms, or large-scale information extraction systems is strongly preferred
- Contributions to the platform engineering community (e.g., technical publications, open-source projects, or conference presentations on distributed systems) are a strong plus
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
- 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
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
- Annual base salary: $290,000-$340,000
- Target annual bonus percentage: 30%
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
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