Senior Data Platform Engineer

Expected

Optional

Operating system

We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere.

We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem.

Key takeaways:

Stack: Python, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform

• Design, build, and operate backend systems that rely on scalable and highly available data persistence layers.
• Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability.
• Improve the reliability and performance of production datastores used by critical services.
• Partner with service teams to improve database schema design, query performance, and data modelling.
• Optimize data access patterns and indexing strategies for relational and NoSQL databases.
• Support teams in designing systems that scale efficiently under high load.
• Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers.
• Contribute to infrastructure automation using tools such as Terraform and internal developer platforms.
• Improve observability and operational insight into datastore performance and reliability.
• Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems.
• Develop autoscaling and performance optimization strategies for critical data infrastructure.
• Support operational excellence by reducing manual processes and improving system resilience.

This is how we work

Team members

• 100% paid medical care
• Multisport
• Creative tax (KUP)
• Home office allowance
• MacBook Pro

• A call with Motife recruiter (30 min)
• Coding Interview (1h)
• Interview panel: architecture & system design (1h)
• Hiring Manager meeting (45 min)

If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English.