Senior Engineering Manager (Data Platform, Remote)

Job summary

This role focuses on leading and managing a team of engineers responsible for a data platform that supports various business functions across a global enterprise. The position emphasizes people leadership, engineering delivery, and collaboration with product and technical stakeholders.

Qualifications

• Proven experience in people leadership, including hiring, coaching, and performance management for engineers at various levels.
• Demonstrated success in leading engineering delivery for data platforms or similar infrastructure at an enterprise scale.
• Familiarity with Databricks and the Microsoft data ecosystem, including Azure services.
• Ability to effectively partner with product management to translate roadmaps into actionable delivery plans.
• Strong technical skills to engage with senior engineers and defend platform investments.
• Experience in driving FinOps best practices related to cost management in cloud environments.
• Excellent communication skills for both technical and executive audiences.

Responsibilities

• Lead and develop a team of 8–10 engineers, ensuring a healthy team environment with clear expectations and career development opportunities.
• Oversee the engineering delivery of the data platform, focusing on architecture, reliability, security, and governance.
• Collaborate with product management to align on priorities and translate them into execution plans.
• Work with technical leads to ensure teams are addressing the right challenges effectively.
• Implement FinOps practices for cost modeling and forecasting to ensure scalable platform operations.
• Advocate for governance and data privacy as core platform features.
• Represent the engineering team in architecture and governance discussions across the organization.
• Establish operational standards, including service level objectives and incident management practices.

Skills

• Strong leadership and team management skills.
• Technical expertise in data platforms and cloud services.
• Proficient in financial operations related to technology spending.
• Effective communication and stakeholder management abilities.

Education

• Relevant degree in Computer Science, Engineering, or a related field is preferred.

Tools

• Experience with Databricks, Power BI, and Azure services.