Engineering Manager, Data Engineering
San Francisco
Aircall
AI-powered customer communications platform that unifies channels, automates tasks, and provides insights. Business phone for high-performing teams, integrated with CRM & Helpdesk.How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in
About the Role:We are seeking a visionary and results-driven Engineering Manager, Data Engineering to lead our team and drive Aircall’s next phase of growth. In this strategic leadership role, you will oversee the design, development, and evolution of our enterprise data infrastructure while fostering a high-performing team culture. You will act as a trusted advisor to senior leadership, translating technical capabilities into business impact and championing innovation in data engineering.This role demands a leader who excels in people management, technical excellence, and cross-functional collaboration. You will elevate team productivity, mentor emerging talent, and ensure our data platforms scale seamlessly to meet Aircall’s ambitious goals.
Your Mission @ Aircall:
1. Lead Teams & Drive Performance - 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.
2. Architect Scalable Data Platforms - 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.
3. Communicate Strategically & Collaborate Cross-Functionally - 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.
4. Lead with Empathy & Approachability - 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.
5. Drive Thought Leadership - 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.
A Little More About You:
- 8+ years in data engineering, including 3+ years managing teams of 5+ engineers.
- Technical Expertise: Proven experience with distributed systems (Spark, Hadoop) and modern data stacks (dbt, Airflow, Kafka). Advanced SQL/Python skills.
- Leadership: Track record of elevating team performance, managing underperformers, and retaining top talent.
- Communication: Exceptional storytelling and presentation skills; able to engage C-suite audiences.
- Collaboration: Known for building trust across teams and resolving conflicts with diplomacy.
- Innovation: Passion for exploring new technologies (e.g., GenAI/ML ops pipelines, real-time analytics) to solve business challenges.
Let’s grow together: Aircall is a place for those who dare to be bold and seek responsibility, excellence, and the opportunity to push themselves to new heights.
We’re creating a place where great people trust one another and thrive together.
People flourish at Aircall and now is the time to be part of the team and the journey we’re on.
Why join us?
🚀 Key moment to join Aircall in terms of growth and opportunities💆♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, commuter, and childcare reimbursements💚 Generous parental leave policy
DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Data governance dbt DevOps Distributed Systems Engineering Flink Generative AI Hadoop Kafka Machine Learning Open Source Pipelines Privacy Python Spark SQL
Perks/benefits: 401(k) matching Career development Competitive pay Conferences Equity / stock options Health care Medical leave Parental leave Startup environment Unlimited paid time off
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