Senior SDLC Telemetry & Analytics Architect

Apple Inc.; San Diego (CA); On-site; USD 142,000 - 214,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Apple stock programs

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. is seeking a Senior Software Engineer for SDLC Analytics in San Diego, CA. You will architect a telemetry and analytics platform enabling measurement and optimization across the software development lifecycle.

You will design unified data models, ingest pipelines, and analytics capabilities that span source control, builds, deployments, and monitoring. Strong data engineering and production-grade systems experience are essential.

Qualifications

• 4+ years of relevant industry experience.
• Strong software engineering foundation with production data systems experience.
• Proven track record designing and maintaining data-intensive products end-to-end.
• Deep expertise in data modeling (time-series and dimensional).
• Hands-on experience with event streaming platforms (Kafka) and pipelines (Airflow, Spark).
• Proficiency in Java; strong SQL for data modeling and pipelines; experience across the full data stack.

Responsibilities

• Engineer unified SDLC data models and event schemas.
• Build data pipelines ingesting events from source control, build, deployment, and monitoring systems.
• Design scalable databases for SDLC analytics, including time-series storage and data warehouse layers.
• Deliver analytics tooling and visualizations, including monitoring and anomaly detection.

Skills

Java

SQL

Data modeling

Time-series modeling

Dimensional modeling

Distributed systems

Education

BS in Computer Science

Tools

Kafka

Airflow

Spark

Job description

Apple Inc. is seeking a Senior Software Engineer for SDLC Analytics in San Diego, CA. You will architect a telemetry and analytics platform enabling measurement and optimization across the software development lifecycle.

You will design unified data models, ingest pipelines, and analytics capabilities that span source control, builds, deployments, and monitoring. Strong data engineering and production-grade systems experience are essential.