Engineering Manager - App Store, External Data Analytics Products

$181,000 - $313,000/Yr

Apple - Seattle, WA

Full-time - Manager

Seattle, WA

Computer and Electronic Product Manufacturing

About the position

As an engineering manager in analytics at Apple, you will lead a team of data engineers to enhance the App Store by generating insights from data in a privacy-friendly manner. Your role will involve building analytical products that deliver valuable data and insights to Apple's developer partners, ensuring the efficient processing of vast amounts of App Store data.

Responsibilities

• Drive technical vision, strategy, and implementation of App Store external analytical products.
• Establish processes to ensure engineering excellence, high quality, reliability, and efficiency of analytical products.
• Lead a team of data engineers: hire, mentor, and manage performance.
• Review technical designs and code created by the team.
• Collaborate with stakeholders and cross-functional leaders in engineering, product, and operations to design data collection, user interface, API, and reporting capabilities.
• Participate in privacy reviews to ensure that data collection and reporting satisfies strict privacy guidelines and legal requirements.
• Foster a healthy, inclusive, and collaborative culture.

Requirements

• 7+ years of hands-on experience in big-data field: HDFS, Spark, Airflow, Kafka, Scala or Java, SQL, batch & streaming.
• 3+ years of experience in engineering management: building and growing high-performing teams.
• Proven track record designing, launching, and scaling production quality data pipelines.
• Experience with mission-critical and high-performance distributed systems.
• Excellent communication skills, teamwork, and proven ability to work in a cross-functional environment.
• Bachelors or Master's degree in computer science, statistics, similar quantitative field, or equivalent experience.

Nice-to-haves

• Experience with any of the following: Snowflake, Druid, Clickhouse, Trino (Presto), Cassandra.
• Experience with cloud: AWS, S3, EMR.
• Previous work experience in designing and building external analytics products at a global scale.
• Familiarity with advanced analytics concepts including statistics, machine learning, and artificial intelligence.
• Passion for building privacy-friendly analytical products.

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses including tuition
• Discretionary bonuses or commission payments
• Relocation assistance