Manager, Engineering, Enterprise Data Platform
About The Position
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!
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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
