Staff Data Systems Architect

Staff Data Systems Architect

Overview

At MyFitnessPal, we truly believe that good health starts with what you eat. Millions of people rely on our platform every single day to power their personal health and fitness journeys, tracking everything from daily meals to long term wellness goals. If you want to use your architectural wizardry to impact millions of lives positively, keep reading. We are searching for a Staff Data Systems Architect to join our talented Data Engineering team. This is a fully remote opportunity where you can work from anywhere in the world, collaborating with brilliant technologists who value inclusivity, continuous learning, and strong mentorship.

Key Responsibilities

  • Design, build, and scale the robust backend systems and data platforms that drive the entire MyFitnessPal ecosystem.
  • Partner closely with product, data science, and AI or ML teams to integrate cutting edge technologies seamlessly.
  • Scale and maintain the world's largest nutrition database while ensuring high performance, reliability, and security.
  • Champion engineering best practices, driving architectural decisions that support rapid growth and innovation.
  • Mentor fellow engineers and foster a collaborative environment where diverse perspectives are celebrated.

Requirements

  • Extensive experience designing and scaling complex distributed data systems and backend architectures in production environments.
  • Deep understanding of modern data pipelines, cloud infrastructure, and database technologies at massive scale.
  • A collaborative mindset with a proven track record of mentoring team members and driving technical strategy.
  • Passion for health, wellness, and building products that genuinely improve peoples lives every day.

What You'll Gain

  • The chance to shape the technical future of a globally recognized health and wellness brand.
  • A flexible, fully remote work environment that respects work life balance and global collaboration.
  • Opportunities to work with cutting edge AI, machine learning, and big data technologies alongside top tier talent.
  • A supportive culture that champions innovation, inclusivity, and continuous professional growth.

How to Apply

Click the apply button below to view the full job details and submit your application directly through the employer's official page.

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