Engineering Manager – DataTech
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Job Description
Engineering Manager leading DataTech teams for PitchBook, a platform providing investment professionals with company data and analytics. Improving delivery, reliability, capacity planning, SDLC execution, and engineering team development.
Responsibilities:
- Own delivery and engineering outcomes for DataTech teams
- Be accountable for delivery, velocity, quality, reliability and scalability
- Align work with DataTech priorities using visualization and reporting
- Ensure effective execution across refinement, design, estimation, implementation, testing and deployment
- Identify execution gaps and improve delivery practices with SDE Leads
- Improve AI-enabled SDLC adoption, including SDD frameworks and practices
- Own short- and long-term capacity and capability planning
- Allocate people according to priorities and delivery commitments
- Surface capacity and delivery risks and drive mitigation
- Own platform stability, reliability, performance and overall quality
- Ensure customer support, incident management, observability and operational processes
- Balance delivery with technical health and operational needs
- Manage engineers and SDE Leads through coaching, feedback, growth and performance management
- Build and evolve teams through hiring, onboarding and skill-mix development
- Maintain healthy team dynamics and address people issues early
- Improve engineering practices and collaboration
- Partner with Product, Data and other domains to align plans and manage dependencies
- Contribute to domain-level planning and cross-team collaboration
Requirements:
- Proven engineering leadership experience managing multiple software/data engineering teams
- Strong track record of delivery, including improving planning, prioritization and execution
- Ability to use delivery data, visualization and reporting to identify problems and drive improvements
- Strong people-management skills, including coaching, performance management and team development
- Strong technical judgment and ability to work with engineering leads to improve delivery practices
- Effective use of GenAI and SDD
- Clear communication and collaboration skills with technical and non-technical stakeholders
- Ownership mindset with accountability for delivery, long-term quality and maintainability
- Excellent written and verbal communication skills in English
- Bonus: Experience in data ingestion, processing or curation domains
- Bonus: Familiarity with Stream-Aligned Teams / Team Topologies
- Bonus: Experience with Architecture, Platform, SRE and other enabling teams
- Bonus: Experience improving observability, reliability and incident management for backend/data services
- Tech stack exposure: Java 21, Kubernetes/GitOps, Spring Boot, MFE Architecture, OpenAPI, PostgreSQL, Kafka and Redis
Benefits:
- Fully remote work
- Flexible working schedule
- Stable workload
- Stable income
- Provided laptops
- Licensed software
- Performance and merit reviews
- Personal development plans
- Individual learnings through the corporate library
- Public speaking support
- Company-wide tech and cultural events
- Meaningful CSR initiatives
- HR support
- Referral bonus program
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