Engineering Manager in DataTech

Stack

Responsibilities

• ▹Own delivery and engineering outcomes for the DataTech teams
• ▹Be accountable for delivery, velocity, quality, reliability and scalability
• ▹Align work with DataTech priorities, using visualization and reporting to understand delivery, identify problems and drive improvements
• ▹Ensure strong SDLC execution and technical quality across refinement, design, estimation, implementation, testing and deployment
• ▹Identify execution gaps and work with SDE Leads to improve how delivery works
• ▹Invest in improving an AI-enabled SDLC, including adoption and evolution of SDD frameworks and practices
• ▹Own short- and long-term capacity and capability planning and allocate people in line with priorities and commitments
• ▹Surface capacity and delivery risks and drive mitigation
• ▹Own product 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
• ▹Manage engineers and SDE Leads through coaching, feedback, growth and performance management
• ▹Build teams through hiring, onboarding and shaping the right skill mix
• ▹Maintain healthy team dynamics and address people issues early
• ▹Improve engineering practices where they help teams deliver more effectively
• ▹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: coaching, performance management and team development
• ▹Strong technical judgment and ability to work with engineering leads to improve delivery practices, including effective use of GenAI and SDD
• ▹Clear communication and collaboration skills with technical and non-technical stakeholders
• ▹Ownership mindset: accountable for delivery as well as long-term quality and maintainability
• ▹Excellent written and verbal communication skills in English

Nice to have

• ▹Experience in DataTech-like domains (data ingestion, processing, curation)
• ▹Familiarity with Stream-Aligned Teams / Team Topologies
• ▹Experience working with Architecture, Platform, SRE and other enabling teams
• ▹Experience improving observability, reliability and incident management for backend/data services

Soft skills

What we offer

• ▹Fully remote work with a flexible schedule
• ▹Stable workload and stable income, with provided laptops and licensed software
• ▹Performance and merit reviews and personal development plans
• ▹Individual learning through the corporate library and public speaking support
• ▹Company-wide tech and cultural events and CSR initiatives
• ▹HR support and a referral bonus program

About the company

SPD Technology builds custom, cutting-edge tech solutions for world-renowned businesses. The project is the DataTech area of PitchBook, a data and analytics platform for investment professionals.