Apple
Engineering Manager - App Store, External Data Analytics Products
Apple, Seattle, Washington, us, 98127
Summary
Posted: Aug 27, 2024
Weekly Hours:
40
Role Number:
200565017
Apple’s App Store is the world’s largest and most innovative app marketplace, home to over 1.5 million apps and serving over half a billion customers weekly across all Apple devices. Since the App Store launched in 2008, it has enabled countless new companies, spawned new industries, and built millions of jobs. But we believe we are just getting started. As an engineering manager in analytics, you will help improve the App Store for both users and developers by generating insights from data in a privacy-friendly way. You will lead the team of world-class engineers to build a portfolio of analytical products, such as App Store Connect App Analytics, which deliver data and insights to Apple’s developer partners.
Description
We seek an engineering manager to lead a team of data engineers that builds App Store analytical products used by Apple’s developer partners. Under your leadership, the team will implement and maintain efficient data pipelines that process petabytes of App Store data to timely and accurately deliver analytics to app developers. In addition to foundational metrics, your team will build advanced analytical capabilities that help developers gain deep insights and optimize the performance of their apps. While focusing on the data engineering aspect, you will collaborate with cross-functional partners to collect the data from internal systems and Apple devices in a privacy-friendly way, design an engaging user interface, and implement APIs to deliver the data to external partners.
Responsibilities Include:
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.
Minimum Qualifications:
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.
Bachelor's or Master’s degree in computer science, statistics, similar quantitative field, or equivalent experience.
Preferred Qualifications:
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.
Pay & Benefits:
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,000 and $313,000, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
More:
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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Posted: Aug 27, 2024
Weekly Hours:
40
Role Number:
200565017
Apple’s App Store is the world’s largest and most innovative app marketplace, home to over 1.5 million apps and serving over half a billion customers weekly across all Apple devices. Since the App Store launched in 2008, it has enabled countless new companies, spawned new industries, and built millions of jobs. But we believe we are just getting started. As an engineering manager in analytics, you will help improve the App Store for both users and developers by generating insights from data in a privacy-friendly way. You will lead the team of world-class engineers to build a portfolio of analytical products, such as App Store Connect App Analytics, which deliver data and insights to Apple’s developer partners.
Description
We seek an engineering manager to lead a team of data engineers that builds App Store analytical products used by Apple’s developer partners. Under your leadership, the team will implement and maintain efficient data pipelines that process petabytes of App Store data to timely and accurately deliver analytics to app developers. In addition to foundational metrics, your team will build advanced analytical capabilities that help developers gain deep insights and optimize the performance of their apps. While focusing on the data engineering aspect, you will collaborate with cross-functional partners to collect the data from internal systems and Apple devices in a privacy-friendly way, design an engaging user interface, and implement APIs to deliver the data to external partners.
Responsibilities Include:
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.
Minimum Qualifications:
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.
Bachelor's or Master’s degree in computer science, statistics, similar quantitative field, or equivalent experience.
Preferred Qualifications:
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.
Pay & Benefits:
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,000 and $313,000, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
More:
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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