Solutions Architect - User Research Data Systems

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Imagine what you could do here. Bring passion and dedication to your job and there’s no telling what you could accomplish. We are a team of software engineers developing web-based tools and applications for Apple teams. Our work empowers Apple engineers and researchers to build the products that inspire and delight millions every day. Dynamic, inspiring people and innovative technologies are the norm here. We want you to join our team if you are a resourceful engineer with the desire to research and develop solutions that do not yet exist. Ideal candidates are comfortable breaking down problems and proposing multiple solutions. They strive for excellence but can balance progress and perfection. Working with us, you will become part of a hands-on development team that furthers engineering perfection, creativity, and innovation.

The Human Engineering Software team works closely with many teams around Apple to build powerful multi-platform tools, with a particular focus on user studies for new Apple products. We are seeking a world-class Solutions Architect who is passionate about designing and implementing comprehensive data workflows for sensitive user research operations. In this role, you will architect end-to-end solutions for user research data collection, storage, and analysis while ensuring the highest standards of compliance, security, and operational efficiency. You will take a holistic view of study workflows, balancing technical requirements with usability and regulatory constraints.

• Proven experience architecting large-scale data systems handling sensitive or regulated datasets
• Strong background in designing end-to-end data workflows (collection, storage, processing, analysis)
• Experience with Unix-based systems and command line interfaces
• Demonstrated expertise in system architecture including cloud services, encryption, network security, and distributed storage
• Excellent communication skills with ability to present complex technical solutions to non-technical stakeholders
• Experience managing cross-functional technical projects and stakeholder alignment
• Strong analytical and problem-solving abilities with systems thinking approach
• BS/MS in Computer Science, Systems Engineering, Data Engineering, or equivalent

• Experience with user research methodologies and data collection tools
• Background in healthcare, research, or other regulated industries handling sensitive data
• Experience with data privacy frameworks (GDPR, CCPA, HIPAA)
• Knowledge of statistical analysis tools and research data formats
• Experience with containerization, microservices, and modern DevOps practices