Manager, Engineering, Enterprise Data Platform
$225,000-$260,000
Apply (opens in a new tab)Manager, Engineering, Enterprise Data Platform
Posted 46 days ago
SENIORITY
Manager
SALARY
$225,000-$260,000
About the role
- 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
- 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
- Benefits +Compensation at PitchBook: Physical Health
- Comprehensive health benefits
- Additional medical wellness incentivesSTD, LTD, AD&D, and life insurance
- Emotional HealthPaid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursementCFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
- Social Health Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSACompany-wide events
- Employee referral bonus program
- Quarterly team building events
- Financial Health 401k match
- Shared ownership employee stock program
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
