Data Platform Engineer - Remote

Overview

As a Data Platform Engineer at Quik!, you will be a cornerstone of our data architecture, designing, implementing, and evolving scalable data systems that serve our product platform and AI features.

In Short

• Design and maintain scalable storage across SQL, NoSQL, in-memory, and search platforms
• Ensure system resilience, availability, and observability
• Implement lifecycle management, backup/recovery, and security protocols
• Identify and resolve bottlenecks across the data layer
• Tune indexing, caching, and partitioning strategies
• Support AI-driven features with performant, accessible data structures
• Partner with engineering teams to deliver backend features reliant on complex data pipelines
• Document schemas, systems, and best practices
• Mentor peers on observability and modern data design
• Excited to adopt AI-assisted tools to boost efficiency and quality

Requirements

• 5+ years of experience managing or building large-scale data systems
• Proficient in SQL, NoSQL, and distributed systems (MSSQL, MongoDB, Redis)
• Comfortable with Elasticsearch or Solr, schema evolution, and data modeling
• Familiar with cloud-native infrastructure (AWS or Azure)
• Skilled in observability and performance tuning
• Experience with vector databases and semantic search is a plus
• Experience with Kubernetes or container-based deployments is a plus

Benefits

• Health coverage
• Paid time off
• Professional development
• Home office stipend