Software Data Architect
Apple
Software Data Architect
Job Description
Apple’s App Store is the world’s largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion customers every week across all the Apple devices. Since the App Store launched in 2008, it has changed how we all live; it has enabled countless new companies, spawned new industries, and built millions of jobs. But we believe we are just getting started. We are seeking a. hands-on senior data engineer with creative problem solving and collaborative approach to join the App Store Analytics engineering team focused on Advertising solutions to help drive app discoverability. In this role, you will be part of analytics team working with product, privacy, multi-functional engineering teams to drive creation of innovative privacy preserving solutions that deliver on Apple’s privacy vision. You will be an individual contributor to implement the designs to a scalable, high quality observable set of pipelines and services. You will understand the data deeply and use that knowledge to help answer critical business questions as well as drive product design. You will be accountable for the quality, scalability and performance of the systems we build. You will lean into and pick up new technologies as driven by needs of the project. You will partner with program teams to plan and implement sprint goals. You will be part of a collaborative, encouraging team that will embrace challenges and value humility, integrity and dedication to each other’s growth.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- creative problem solvingintermediate
- collaborative approachintermediate
- hands-on senior data engineeringintermediate
- implement designsintermediate
- scalable pipelinesintermediate
- high quality observable servicesintermediate
- deep data understandingintermediate
- answer critical business questionsintermediate
- drive product designintermediate
- ensure qualityintermediate
- ensure scalabilityintermediate
- ensure performanceintermediate
- pick up new technologiesintermediate
- plan sprint goalsintermediate
- implement sprint goalsintermediate
- collaborativeintermediate
- encouragingintermediate
- embrace challengesintermediate
- humilityintermediate
- integrityintermediate
- dedication to growthintermediate
Required Qualifications
- Bachelors degree in Computer Science, Math, Statistics. Master’s degree preferred. (degree in computer science)
- 10+ years of programming experience in Scala (preferred) or Java (experience, 10 years)
- Proven skills in designing scaleable, highly available distributed systems using Kafka, Iceberg, Kubernetes, Apache Spark, Flink, Airflow & Cassandra or similar technologies. (experience)
- Strong quantitative and SQL skills. (experience)
- Understanding of functional programming ideas and principles. (experience)
- Self-directed, self-motivated and ability to create architecture and design documents. (experience)
- Good understanding of software engineering principles and fundamentals including algorithms and data structures. (experience)
- Ability to capture multi-functional requirements and translate them into practical engineering tasks. (experience)
- Excellent communication skills and proven ability to work in a multi-functional environment. (experience)
Preferred Qualifications
- Knowledge of data privacy and compliance techniques such as anonymization, aggregation and segregation are highly desired. (experience)
- Experience with data lineage systems, such as OpenLineage and Cypher. (experience)
- Understanding of ads domain and regulatory environment is preferred. (experience)
Responsibilities
- You will be an individual contributor to implement the designs to a scalable, high quality observable set of pipelines and services. You will understand the data deeply and use that knowledge to help answer critical business questions as well as drive product design. You will be accountable for the quality, scalability and performance of the systems we build. You will lean into and pick up new technologies as driven by needs of the project. You will partner with program teams to plan and implement sprint goals. You will be part of a collaborative, encouraging team that will embrace challenges and value humility, integrity and dedication to each other’s growth.
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Answer 10 quick questions to check your fit for Software Data Architect @ Apple.
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Software Data Architect
Apple
Software Data Architect
Job Description
Apple’s App Store is the world’s largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion customers every week across all the Apple devices. Since the App Store launched in 2008, it has changed how we all live; it has enabled countless new companies, spawned new industries, and built millions of jobs. But we believe we are just getting started. We are seeking a. hands-on senior data engineer with creative problem solving and collaborative approach to join the App Store Analytics engineering team focused on Advertising solutions to help drive app discoverability. In this role, you will be part of analytics team working with product, privacy, multi-functional engineering teams to drive creation of innovative privacy preserving solutions that deliver on Apple’s privacy vision. You will be an individual contributor to implement the designs to a scalable, high quality observable set of pipelines and services. You will understand the data deeply and use that knowledge to help answer critical business questions as well as drive product design. You will be accountable for the quality, scalability and performance of the systems we build. You will lean into and pick up new technologies as driven by needs of the project. You will partner with program teams to plan and implement sprint goals. You will be part of a collaborative, encouraging team that will embrace challenges and value humility, integrity and dedication to each other’s growth.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- creative problem solvingintermediate
- collaborative approachintermediate
- hands-on senior data engineeringintermediate
- implement designsintermediate
- scalable pipelinesintermediate
- high quality observable servicesintermediate
- deep data understandingintermediate
- answer critical business questionsintermediate
- drive product designintermediate
- ensure qualityintermediate
- ensure scalabilityintermediate
- ensure performanceintermediate
- pick up new technologiesintermediate
- plan sprint goalsintermediate
- implement sprint goalsintermediate
- collaborativeintermediate
- encouragingintermediate
- embrace challengesintermediate
- humilityintermediate
- integrityintermediate
- dedication to growthintermediate
Required Qualifications
- Bachelors degree in Computer Science, Math, Statistics. Master’s degree preferred. (degree in computer science)
- 10+ years of programming experience in Scala (preferred) or Java (experience, 10 years)
- Proven skills in designing scaleable, highly available distributed systems using Kafka, Iceberg, Kubernetes, Apache Spark, Flink, Airflow & Cassandra or similar technologies. (experience)
- Strong quantitative and SQL skills. (experience)
- Understanding of functional programming ideas and principles. (experience)
- Self-directed, self-motivated and ability to create architecture and design documents. (experience)
- Good understanding of software engineering principles and fundamentals including algorithms and data structures. (experience)
- Ability to capture multi-functional requirements and translate them into practical engineering tasks. (experience)
- Excellent communication skills and proven ability to work in a multi-functional environment. (experience)
Preferred Qualifications
- Knowledge of data privacy and compliance techniques such as anonymization, aggregation and segregation are highly desired. (experience)
- Experience with data lineage systems, such as OpenLineage and Cypher. (experience)
- Understanding of ads domain and regulatory environment is preferred. (experience)
Responsibilities
- You will be an individual contributor to implement the designs to a scalable, high quality observable set of pipelines and services. You will understand the data deeply and use that knowledge to help answer critical business questions as well as drive product design. You will be accountable for the quality, scalability and performance of the systems we build. You will lean into and pick up new technologies as driven by needs of the project. You will partner with program teams to plan and implement sprint goals. You will be part of a collaborative, encouraging team that will embrace challenges and value humility, integrity and dedication to each other’s growth.
Tags & Categories
Answer 10 quick questions to check your fit for Software Data Architect @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs