Engineering Manager in DataTech

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…