Senior / Staff Data Infrastructure Engineer for Lakehouse, Apple Data Platform
Apple
Senior / Staff Data Infrastructure Engineer for Lakehouse, Apple Data Platform
Job Description
The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success. This role sits within the Data Lakehouse team, a part of the Apple Data Platform. The team provides a fully managed Lakehouse solution powered by Apache Iceberg, Iceberg REST Catalog, and custom-built services to manage data at scale. Our platform supports both analytical and machine learning workloads across Apple, serving key products and organizations including Siri, Search, Media, iCloud, News, Apple Intelligence, and Maps. We continuously innovate to meet evolving customer needs and market trends. We seek engineers passionate about building world-class infrastructure products. In this role, you will lead the data lakehouse team, guiding team members in both technical and professional growth. You will collaborate closely with cross-functional teams to lead the planning, execution, and success of technical projects, with a focus on enhancing the experience for Apple’s internal customers. The ideal candidate will have outstanding communication skills, proven data infrastructure/platform design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. Responsibilities will include • Build and operate Apple’s largest data plarform supporting exabyte scale. • Scale and operationalize the largest custom build multi-tenant, highly secure, privacy enabled Data Lakehouse. • Ensure data platform offers reliable high quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt • Write code, documentation, participate in code reviews, and mentor other engineers
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- outstanding communication skillsintermediate
- data infrastructure designintermediate
- data infrastructure implementationintermediate
- proven data platform design capabilitiesintermediate
- proven data platform implementation capabilitiesintermediate
- strong business acumenintermediate
- self-starterintermediate
- comfortable with ambiguityintermediate
- working in fast-paced dynamic environmentintermediate
- building and operating data platformintermediate
- scaling data lakehouseintermediate
- operationalizing multi-tenant systemsintermediate
- ensuring high quality dataintermediate
- monitoringintermediate
- alertingintermediate
- incident responseintermediate
- reducing tech-debtintermediate
- writing codeintermediate
- writing documentationintermediate
- code reviewsintermediate
- mentoring engineersintermediate
Required Qualifications
- 10+ years of experience in design and development of scaling, and operation of distributed systems, including technologies like Apache Spark, Kafka, Flink, Iceberg, and Hive, along with resource management systems like Apache Mesos and Kubernetes. (experience, 10 years)
- Proficient in Java or Scala. (experience)
- Proven expertise in designing and developing scalable, reliable APIs. (experience)
- A hands-on approach with a willingness to engage in daily technical work. (experience)
- Contributions to Open-Source projects like Apache Iceberg are a plus. (experience)
- Skilled at debugging complex issues in large-scale distributed systems. (experience)
- Driven by a passion for building reliable, maintainable, and user-friendly products and services. (experience)
- Exceptional communication and collaboration skills, with the ability to work effectively across multiple teams and functions. (experience)
- Bachelor’s, Master’s, or Ph.D. in Computer Science or a related technical discipline. (degree in ph)
Preferred Qualifications
- Expertise in public cloud platform’s like AWS, S3, EKS, IAM. (experience)
- Contributor to open source technologies like Spark or Iceberg. (experience)
- Expertise in building Lakehouse for large scale data platforms. (experience)
Responsibilities
- The ideal candidate will have outstanding communication skills, proven data infrastructure/platform design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. Responsibilities will include
- * Build and operate Apple’s largest data plarform supporting exabyte scale.
- * Scale and operationalize the largest custom build multi-tenant, highly secure, privacy enabled Data Lakehouse.
- * Ensure data platform offers reliable high quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt
- * Write code, documentation, participate in code reviews, and mentor other engineers
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Answer 10 quick questions to check your fit for Senior / Staff Data Infrastructure Engineer for Lakehouse, Apple Data Platform @ Apple.
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Senior / Staff Data Infrastructure Engineer for Lakehouse, Apple Data Platform
Apple
Senior / Staff Data Infrastructure Engineer for Lakehouse, Apple Data Platform
Job Description
The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success. This role sits within the Data Lakehouse team, a part of the Apple Data Platform. The team provides a fully managed Lakehouse solution powered by Apache Iceberg, Iceberg REST Catalog, and custom-built services to manage data at scale. Our platform supports both analytical and machine learning workloads across Apple, serving key products and organizations including Siri, Search, Media, iCloud, News, Apple Intelligence, and Maps. We continuously innovate to meet evolving customer needs and market trends. We seek engineers passionate about building world-class infrastructure products. In this role, you will lead the data lakehouse team, guiding team members in both technical and professional growth. You will collaborate closely with cross-functional teams to lead the planning, execution, and success of technical projects, with a focus on enhancing the experience for Apple’s internal customers. The ideal candidate will have outstanding communication skills, proven data infrastructure/platform design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. Responsibilities will include • Build and operate Apple’s largest data plarform supporting exabyte scale. • Scale and operationalize the largest custom build multi-tenant, highly secure, privacy enabled Data Lakehouse. • Ensure data platform offers reliable high quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt • Write code, documentation, participate in code reviews, and mentor other engineers
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- outstanding communication skillsintermediate
- data infrastructure designintermediate
- data infrastructure implementationintermediate
- proven data platform design capabilitiesintermediate
- proven data platform implementation capabilitiesintermediate
- strong business acumenintermediate
- self-starterintermediate
- comfortable with ambiguityintermediate
- working in fast-paced dynamic environmentintermediate
- building and operating data platformintermediate
- scaling data lakehouseintermediate
- operationalizing multi-tenant systemsintermediate
- ensuring high quality dataintermediate
- monitoringintermediate
- alertingintermediate
- incident responseintermediate
- reducing tech-debtintermediate
- writing codeintermediate
- writing documentationintermediate
- code reviewsintermediate
- mentoring engineersintermediate
Required Qualifications
- 10+ years of experience in design and development of scaling, and operation of distributed systems, including technologies like Apache Spark, Kafka, Flink, Iceberg, and Hive, along with resource management systems like Apache Mesos and Kubernetes. (experience, 10 years)
- Proficient in Java or Scala. (experience)
- Proven expertise in designing and developing scalable, reliable APIs. (experience)
- A hands-on approach with a willingness to engage in daily technical work. (experience)
- Contributions to Open-Source projects like Apache Iceberg are a plus. (experience)
- Skilled at debugging complex issues in large-scale distributed systems. (experience)
- Driven by a passion for building reliable, maintainable, and user-friendly products and services. (experience)
- Exceptional communication and collaboration skills, with the ability to work effectively across multiple teams and functions. (experience)
- Bachelor’s, Master’s, or Ph.D. in Computer Science or a related technical discipline. (degree in ph)
Preferred Qualifications
- Expertise in public cloud platform’s like AWS, S3, EKS, IAM. (experience)
- Contributor to open source technologies like Spark or Iceberg. (experience)
- Expertise in building Lakehouse for large scale data platforms. (experience)
Responsibilities
- The ideal candidate will have outstanding communication skills, proven data infrastructure/platform design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. Responsibilities will include
- * Build and operate Apple’s largest data plarform supporting exabyte scale.
- * Scale and operationalize the largest custom build multi-tenant, highly secure, privacy enabled Data Lakehouse.
- * Ensure data platform offers reliable high quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt
- * Write code, documentation, participate in code reviews, and mentor other engineers
Tags & Categories
Answer 10 quick questions to check your fit for Senior / Staff Data Infrastructure Engineer for Lakehouse, Apple Data Platform @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs