Data Engineering Manager - Apple Ads

Job Description

The Apple Ads data team is seeking a hands-on Data Engineering Manager to lead the design of large-scale data, analytics, and reporting systems.

Requirements

• 3+ years of experience managing teams of software engineers and analysts
• Solid background in computer science, mathematics, or similar quantitative fields with a minimum of 8 years of professional experience
• Demonstrated expertise in practical applications of data warehousing concepts, methodologies, and frameworks
• Proven ability to design for multiple cloud environments
• Hands-on experience with SparkSQL, Hive, Druid, Cassandra, Solr, or other big data query engines
• Proficiency in applying data encryption and data security standards
• Knowledge of visualization tools such as Tableau and ThoughtSpot

Responsibilities

• Lead a group of engineers focused on rapidly developing, scaling, and supporting data products
• Define and incorporate best practices in storage, processing, and copy/synchronization
• Collaborate with business stakeholders to understand needs and translate them into effective data solutions
• Produce high-quality systems with strong reliability and scalability
• Work closely with cross-functional teams to prototype new concepts and deliver end-to-end systems
• Enable teams of analysts, business users, and data scientists by establishing standards and frameworks

Benefits

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.