Senior Backend Data Platform Engineer, Enterprise Technology Services
Get ready to do something great when you join the Apple Identity and Access Management team that's responsible for providing enterprise class solution for both corporate and external business users. The people who work here have re-invented and defined the security standards for protecting customer data with innovative software solutions. The same dedication to innovation is also applied to our business practices - leaving the world a more secure place than we found it. Do you want to help deliver the next innovation in security and user experience for Apple ?
Our teams foster a collaborative environment with creative, smart & fun people using state of the art technologies. Engineering excellence is expected. Come and join us in building solutions that have a worldwide impact.
We are seeking an experienced Senior Backend Data Platform Engineer with 7 plus years of experience to design, implement, and optimize our data infrastructure. In this role, you will lead efforts to build scalable data architectures that power business insights while maintaining high performance and reliability standards.
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Description
Identity Management Services (IdMS) provides mission critical authentication, authorization, customer profile, device identity, and trust services for Apple customers across macOS, iOS, watchOS, and tvOS. IdMS is integrated with hundreds of Apple services including iCloud, iTunes, Retail, Online stores, and processes transactions at internet-scale. IdMS is also the centralized enterprise identity and access management platform for all applications serving Apple.
We are seeking a skilled computer engineer with passion for security engineering. We desire a self-motivated individual who can thrive in an Agile environment, while interacting and communicating effectively with other team members. This position requires extensive experience implementing advanced Computer Science paradigms and sound analytical ability.
You should have the ability to handle conflicting project demands and thrive in a fast-paced environment.
You should enjoy challenging and innovative projects and thrive in a fast-paced environment where accountability is paramount.
Maintain and improve existing applications in response to business needs.
Strong curiosity and a willingness to learn and talk about emerging technologies along with a positive and enthusiastic engagement style.
Demonstrate innovative and creative thinking capabilities and also have sharp troubleshooting skills.
","responsibilities":"Design, develop, and optimize data models across diverse database technologies including OLTP and big data systems
Architect end-to-end data solutions that align with business requirements and technical constraints
Implement and optimize data queries for performance, scalability, and reliability
Build and maintain data platforms on cloud infrastructure (AWS/Google Cloud)
Lead the design and development of data insights frameworks and tools
Establish data engineering best practices and mentor junior team members
Collaborate with cross-functional teams to deliver data-driven solutions
Evaluate and integrate emerging technologies into our data ecosystem
Preferred Qualifications
Experience with AI-assisted development tools (Claude, Gemini AI, GitHub Copilot)
Knowledge of real-time data processing systems (Kafka, Kinesis)
Experience with containerization and orchestration (Docker, Kubernetes)
Familiarity with data governance and compliance requirements
Experience with NoSQL databases (MongoDB, Cassandra, etc.)
Understanding of data visualization tools and techniques
Experience with CI/CD pipelines for data infrastructure
Education
BS / MS in Computer Science or a related technical field or equivalent practical experience.
Minimum Qualifications
6 years of experience in software engineering with a focus on data platforms
Deep expertise in relational database systems (Oracle, PostgreSQL) including schema design, query optimization, and performance tuning
Strong experience with big data technologies (Hadoop, Spark, etc.)
Proficiency in Python and data processing frameworks
Experience deploying and managing data platforms on AWS and/or Google Cloud
Strong understanding of data architecture principles and design patterns
Experience with data pipeline orchestration tools
Excellent problem-solving skills with a focus on system optimization
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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