Engineering Manager – Data Engineering

Engineering Manager – Data Engineering

Requirements

• 8+ years in data engineering, including 3+ years managing teams of 5+ engineers
• Proven experience with distributed systems (Spark, Hadoop) and modern data stacks (dbt, Airflow, Kafka)
• Advanced SQL/Python skills
• Track record of elevating team performance, managing underperformers, and retaining top talent
• Exceptional storytelling and presentation skills; able to engage C-suite audiences
• Known for building trust across teams and resolving conflicts with diplomacy
• Passion for exploring new technologies (e.g., GenAI/ML ops pipelines, real-time analytics) to solve business challenges

Responsibilities

• Build, mentor, and inspire a high-performing data engineering team, setting clear expectations and fostering a culture of ownership, innovation, and accountability
• Conduct regular performance reviews, provide actionable feedback, and identify opportunities for skill development and career growth
• Champion best practices in code quality, data governance, and operational excellence, ensuring adherence to SLAs and compliance standards
• Oversee the design and optimization of large-scale data processing platforms (e.g., Spark, Flink) and cloud-native solutions (AWS preferred) to support business-critical pipelines
• Drive the adoption of cutting-edge tools and frameworks to improve data reliability, efficiency, and cost-effectiveness
• Partner with Data Science, Analytics, Sales, Marketing, and Product teams to align infrastructure roadmaps with evolving business needs
• Simplify complex technical concepts into actionable insights for executives and non-technical stakeholders
• Present data platform strategies, ROI analyses, and risk assessments to senior leadership to influence decision-making
• Build strong partnerships with Engineering, DevOps, Product, and Business teams to break down silos and deliver cross-functional solutions
• Foster an inclusive, collaborative environment where team members feel empowered to innovate and share ideas
• Balance high standards with empathy, ensuring the team remains motivated and engaged during fast-paced growth
• Educate business stakeholders on data engineering best practices, emerging trends, and cost/benefit tradeoffs
• Advocate for data-driven decision-making by showcasing how scalable infrastructure unlocks business value
• Represent Aircall as a technical leader in industry forums, conferences, or open-source communities

Preferred Qualifications

• Passion for exploring new technologies (e.g., GenAI/ML ops pipelines, real-time analytics) to solve business challenges