Engineering Manager, Data Platform & Scale

Jobicy; United States; Hybrid; USD 185,000 - 251,000; Full time

Job summary

Spotify is seeking an Engineering Manager to lead a six-person team spread across Europe. You will set the technical direction, drive delivery, and invest in engineers' growth and careers. Emphasizing ownership, reliable operations, and inclusive leadership, you will shape event delivery and privacy infrastructure at scale.

You’ll partner with product and stakeholders, guide architectural decisions, and nurture a high-performing, diverse team across time zones, including AI/LLMs opportunities.

Qualifications

• Experience managing senior engineering teams and coaching engineers.
• Track record of investing in engineers’ careers and progression.
• Ability to discuss distributed data systems and data infrastructure at scale.
• Strong cross-functional collaboration and accountability.

Responsibilities

• Lead and develop a team of six engineers with a focus on growth.
• Own delivery with clear priorities, healthy execution, and outcomes.
• Partner with product and stakeholders to shape the roadmap.
• Drive technical strategy for systems at Spotify scale.
• Foster ownership, psychological safety, and continuous improvement.
• Collaborate across Data Platform and wider engineering org.
• Manage on-call health, reliability, and operational excellence.
• Participate in hiring and onboarding to grow the team.

Skills

People leadership

Engineering management

Career development

Distributed data systems

Event-driven architectures

Data infrastructure at scale

Communication

Diversity and inclusion

AI/LLMs awareness

Job description

Spotify is seeking an Engineering Manager to lead a six-person team spread across Europe. You will set the technical direction, drive delivery, and invest in engineers' growth and careers. Emphasizing ownership, reliable operations, and inclusive leadership, you will shape event delivery and privacy infrastructure at scale.

You’ll partner with product and stakeholders, guide architectural decisions, and nurture a high-performing, diverse team across time zones, including AI/LLMs opportunities.