About Us
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
And now we are looking for an Engineering Manager to join us as part of our team.
About the role
PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of millions of companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.
Data Collection Technology is a core technology domain responsible for ingesting, processing, managing, and publishing data to the main platform. It combines a suite of battle-proven legacy data collection tools with a modern data collection platform. The broader data management platform provides a unified environment for managing and validating data across both private and public markets. It brings together multiple tools and workflows, standardizes quality-assurance processes, and enables scalable automation for data operations.
As an Engineering Manager in PitchBook’s DataTech team, you will be responsible for ensuring your teams execute well and deliver the outcomes they commit to. Your primary focus will be strengthening delivery capabilities and helping teams improve planning, execution and predictability.
You will also ensure effective platform-wide operational processes, including customer support and incident management. People management and team development remain important responsibilities, with successful and sustainable delivery as the primary focus.
Tech Stack: Java 21, Kubernetes/GitOps, Spring Boot, MFE Architecture, OpenAPI, PostgreSQL, Kafka, Redis
Team setup: 2 teams
Work Environment: flexible
As a qualified expert You will
Own delivery and engineering outcomes for DataTech teams
Be accountable for delivery, velocity, quality, reliability and scalability
Ensure work is aligned with DataTech priorities, using effective visualization and reporting to understand delivery, identify problems and drive improvements
Ensure strong SDLC execution and technical quality
Ensure teams execute effectively across refinement, design, estimation, implementation, testing and deployment
Identify execution gaps and work with SDE Leads to improve how delivery works
Invest in improving a AI-enabled SDLC, including adoption and evolution of SDD frameworks and practices
Plan and manage capacity
Own short- and long-term capacity and capability planning
Allocate people in line with DataTech priorities and delivery commitments
Surface capacity and delivery risks and drive mitigation
Own product quality, reliability and operations
Be accountable for stability, reliability, performance and overall quality
Ensure effective platform-wide customer support, incident management, observability and other operational processes
Balance delivery with technical health and operational needs
Lead and grow engineers and SDE Leads
Manage engineers and SDE Leads through coaching, feedback, growth and performance management
Build and evolve teams through hiring, onboarding and shaping the right skill mix
Maintain healthy team dynamics and address people issues early
Strengthen ways of working and collaboration
Improve engineering practices where they help teams deliver more effectively
Partner with Product, Data and other domains to ali
