Apply on Employer Site

PitchBook · 21 hours ago

Director of Engineering, Data Collections Technology

Seattle, WA

Full-time

Onsite

Lead/Staff, Director/Executive

$290K/yr - $325K/yr

12+ years exp

PitchBook, a Morningstar company, is seeking a Director of Engineering for their Data Collections Technology team. In this role, you will define and execute the technology strategy for data acquisition and processing, leading a global team of engineers to ensure the reliability and efficiency of PitchBook's data processing infrastructure.

AnalyticsFinanceVenture Capital

Culture & Values

No H1B

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

Qualification

Software EngineeringPlatform ArchitectureDistributed SystemsCloud-native ArchitectureData GovernanceETL/ELT PipelinesDataOps PrinciplesMLOps PrinciplesTechnical LeadershipCommunication SkillsCollaboration SkillsProblem Solving

Required

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline

12+ years of experience in large-scale software engineering or platform architecture, including 7+ years leading technical teams

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

Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Preferred

Master's degree preferred

Experience managing managers and geographically distributed teams is strongly preferred

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