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Description
We are seeking an experienced Software Architect or Senior Software Engineer with a strong data analytics background in building data-intensive systems to join our team. The ideal candidate brings production-grade software engineering discipline to data systems — Architecting data models for our scalable SDLC event platform that serves as the backbone for data pipelines, and engineering scalable data infrastructure and analytics capabilities across one of the world's largest software organizations. Modern software development at Apple spans multiple specialized platforms — source control, build system, deployment orchestration, artifact management, and observability tooling. Each generates rich telemetry, but analyzing these signals in isolation yields limited insight. You'll solve this by engineering a unified analytics platform that correlates events across the entire development pipeline, turning fragmented data into a coherent picture of engineering effectiveness.
Minimum Qualifications
Minimum 7 years of relevant industry experience Strong software engineering foundation with significant experience building and operating production data systems Proven track record of designing, shipping, and maintaining internal or external data-intensive products end-to-end Deep expertise in data modeling, including time-series and dimensional modeling approaches Hands-on experience with event streaming platforms (e.g., Kafka) and pipeline orchestration frameworks (e.g., Airflow, Spark) Proficiency in Java and Python; strong SQL skills for data modeling and pipeline development; comfort working across the full data stack from ingestion to serving Solid understanding of database technologies for both operational and analytical workloads BS in Computer Science, Computer Science, or a related technical field
Preferred Qualifications
Experience building analytics or telemetry platforms for software development workflows Hands-on familiarity with SDLC tooling — Git, build systems, CI/CD pipelines, deployment orchestration Strong software design skills: ability to write clean, testable, maintainable code in a collaborative engineering environment Some experience using AI-powered solution on analyzing CI/CD data Strong problem-solving and analytical skills Ability to work well in a team and communicate effectively with both technical and non-technical stakeholders Self-motivated and well-organized, with a demonstrated ability to take ownership and drive ambiguous projects to completion
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