Senior Engineering Manager - Data Lakehouse

Apple is seeking a highly motivated and experienced Senior Engineering Manager to lead a team responsible for the development and optimization of our Data Lakehouse that is part of the Apple Data Platform. This role is critical to enabling data-driven decision-making across Apple, powering a wide range of applications from product analytics and machine learning to supply chain optimization and fraud detection. You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data management and querying capabilities of our Lakehouse Platform. You will work closely with data scientists, data engineers, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies. Team Leadership: Build, mentor, and manage a high-performing team of software engineers specializing in Lakehouse data management using Apache Iceberg, and query engines using Druid and Trino; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions. Technical Strategy and Execution: Define and execute the technical roadmap for our data Lakehouse ecosystem, aligning with Apple's overall data strategy; Drive innovation in data Lakehouse ecosystem exploring new technologies and approaches to improve performance, scalability, and efficiency; Ensure the reliability, availability, and security of our data processing infrastructure.; Collaborate with other engineering teams to integrate our data processing technologies with other Apple systems and services. Stakeholder Management: Partner with data scientists, data engineers, product managers, and other stakeholders to understand their data processing needs and requirements; Communicate technical concepts and solutions effectively to both technical and non-technical audiences; Advocate for best practices in data processing and engineering; Manage expectations and ensure alignment across different teams. Engineering Thought Leadership: Represent Apple data platform work at external conferences; Deliver presentations, and write blog posts highlighting Apple’s leadership in big data processing. 15+ years of software development experience, with a focus on data processing at scale. 10+ years of engineering people management experience—leading, mentoring, and growing teams. 5+ years of experience managing engineering managers. Deep expertise in open source data platform technologies like Apache Iceberg, Apache Druid, and Trino. Excellent communication, interpersonal, and leadership skills. Strong problem-solving and analytical skills. BS, MS, or Ph.D. in Computer Science or a related field of study. Thought leadership in the community via presentations in conferences or blog posts. Experience building and growing teams focusing on open source technologies.

For more details click Job Post.