Hugging Face - Data Architect (MongoDB)

Employment Type: Full-time Location Type: Remote

Position Overview

Hugging Face is seeking a hands-on Data Architect to play a key technical role in our data layer. This position is ideal for a leader who enjoys seeing their designs through to production and wants to contribute to scaling our core database system. You will work closely with our engineering team to design, build, and maintain our MongoDB environment.

Responsibilities

• Shape the Architecture: Collaborate with engineering and product teams to design and evolve the end-to-end architecture for our MongoDB environment, ensuring scalability, reliability, and performance.
• Get Your Hands Dirty: Make specific, planned changes to the application codebase, data access layer, queries, and services to support architectural evolution.
• Champion Best Practices: Develop and promote best practices for data modeling, schema design, and query performance.
• Troubleshoot and Optimize: Act as a subject matter expert for complex database performance issues, diagnosing, resolving, and learning from production incidents.
• Enable the Team: Develop scripts, documentation, and automation to empower developers to work more effectively and safely with the database.

Requirements

• 4+ years of experience in data engineering or architecture, with a significant, up-to-date focus on MongoDB.
• Proven, hands-on experience designing and implementing MongoDB sharding in a production environment, with the ability to discuss trade-offs of different shard keys used.
• Strong proficiency in at least one modern programming language (Typescript/Node.js preferred), with demonstrated experience making changes to an application codebase.
• A strong collaborative mindset with a history of working effectively in cross-functional teams.
• Deep, practical understanding of MongoDB internals, including the aggregation framework, storage engines, indexing, and replication.
• Excellent async/written communication skills with the ability to facilitate technical discussions and build consensus.

Preferred (Nice-to-Haves)

• Experience with Infrastructure as Code (IaC) tools like Terraform or Pulumi.
• Experience running MongoDB in Atlas.
• Familiarity with other database technologies (e.g., PostgreSQL, Redis, Elasticsearch).
• Experience with large-scale data migration projects.

Hugging Face encourages applications even if you don't meet every qualification. We value diverse skills and experiences and are happy to consider where you might make the biggest impact.

About Hugging Face

Hugging Face is building the fastest-growing platform for AI builders, with over 5 million users and 100k organizations. Our open-source libraries have garnered over 400k+ stars on GitHub.

We are committed to building a culture that values diversity, equity, and inclusivity, creating a workplace where everyone feels respected and supported. Hugging Face is an equal opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

We foster continuous growth and development, providing reimbursement for relevant conferences, training, and education. We also prioritize employee well-being with flexible working hours, remote options, and comprehensive health, dental, and other benefits.