Senior Data Platform Engineer - Remote (EU Hours)

Primetag; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Comprehensive medical insurance

Remote work with European core hours

Job summary

Primetag is seeking a senior hands-on engineer to treat data infrastructure as a product. You will define how billions of records are stored, indexed, and exposed across an analytics platform servicing global brands and agencies.

On a Core team owning data foundations, backend systems, and shared infrastructure for products, analytics, and AI capabilities, you will shape migrations, storage strategies, and internal data APIs at scale.

Qualifications

• Strong backend engineering and data platform expertise.
• Hands-on experience with MongoDB and OpenSearch in production.
• Experience designing migrations and storage strategies for billions of records with no downtime.
• Experience building internal data access layers for analytics/ML consumers.
• Ability to work cross-functionally with research, product, and analytics teams.

Responsibilities

• Own and optimize MongoDB clusters and OpenSearch indexes for search performance.
• Design and implement a multi-tier storage strategy for hot/cold/analytic data.
• Build and maintain internal APIs that abstract database complexity for product, analytics, and AI teams.
• Lead schema evolution and no-downtime migrations across production data stores at scale.
• Collaborate with Product, Backend, AI/R&D, and Analytics to turn research into production systems.

Skills

Backend engineering

Data platforms

Data lakes

API design

Cross-functional collaboration

Tools

MongoDB

OpenSearch

APIs

Job description

Primetag is seeking a senior hands-on engineer to treat data infrastructure as a product. You will define how billions of records are stored, indexed, and exposed across an analytics platform servicing global brands and agencies.

On a Core team owning data foundations, backend systems, and shared infrastructure for products, analytics, and AI capabilities, you will shape migrations, storage strategies, and internal data APIs at scale.