At Apple, the Employee Experience and Productivity team is dedicated to shaping the future of the way we work. We create innovative tools and platforms that empower employees to thrive, collaborate, and do the best work of their lives. Our solutions are the invisible force behind Apple’s productivity seamlessly supporting teams across the company and helping them unlock their full potential every day.
Requirements
- 8+ years of hands-on experience in database engineering, including database design, data modeling, and performance tuning.
- 5+ years of in-depth experience with Oracle databases, with strong proficiency in SQL and PL/SQL.
- 2+ years of experience working with NoSQL technologies, particularly MongoDB.
- 5+ years of programming experience in at least one general-purpose language such as Python, Java, or Go.
- Solid understanding of core database concepts: indexing, normalization, query planning, ACID, isolation levels.
- Familiarity with Linux/Unix environments, including system-level debugging and performance analysis.
- Proven ability to troubleshoot and optimize high-performance, high-availability database systems.
Responsibilities
- Designing scalable architectures, modeling complex data flows, and optimizing performance across both Relational and NoSQL databases.
- Serve as a trusted advisor, working with teams to champion best practices, elevate query performance, and unlock the full potential of our data technologies.
- Build intelligent data pipelines and harness the power of AI/ML to drive smarter workflows.
- Design and optimize critical infrastructure powering experiences across the organization.
- Architect scalable, high performance solutions while driving innovation in data modeling, performance tuning, replication, and high availability.
- Designing, developing, and optimizing SQL and PL/SQL in Oracle.
- Building and deploying ML models, including data preparation and fine-tuning.
Other
- A collaborative attitude and strong communication skills to guide teams and mentor peers.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Experience mentoring junior engineers or leading technical design efforts across teams.
