Enterprise Data Platform Engineering Lead

PitchBook Data; Seattle (WA); On-site; USD 225,000 - 260,000; Full time

Benefits offered by this job

Medical wellness incentives

STD, LTD, AD&D, life insurance

Sabbatical program

Family and parental leave

Educational stipend

Tuition reimbursement

CFA exam stipend

Training programs on industry and soft

Employee assistance program

Vacation, sick, and volunteer days

Stock program (shared ownership)

Monthly transportation stipend

Job summary

PitchBook Data is seeking a Data Engineering Manager within the Enterprise Data Platform to lead a team of engineers responsible for building scalable data pipelines, data models, and enterprise data assets. You will drive architecture decisions, mentor engineers, and push AI/ML‑driven data products to enable data‑driven decision making.

You will collaborate with Technology & Engineering, Product, Sales, Marketing, Finance, and Administration to deliver robust data solutions while fostering a

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 visa sponsorship.

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

Skills

Leadership

SQL

Python

Data manipulation

Communication

Education

Bachelor’s or Master’s degree in CS or Engineering

Tools

Snowflake

Airflow

Kafka

Docker

AWS

Azure

GCP

Job description

PitchBook Data is seeking a Data Engineering Manager within the Enterprise Data Platform to lead a team of engineers responsible for building scalable data pipelines, data models, and enterprise data assets. You will drive architecture decisions, mentor engineers, and push AI/ML‑driven data products to enable data‑driven decision making.

You will collaborate with Technology & Engineering, Product, Sales, Marketing, Finance, and Administration to deliver robust data solutions while fostering a