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 thrives on building and scaling our core database system. You will work alongside our engineering team to shape the architecture and ensure the performance, reliability, and scalability of our MongoDB environment.

Responsibilities

• Shape the Architecture: Collaborate closely 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: Dive deep into our application codebase when needed to make specific, planned changes to the data access layer, queries, and services to support the architecture evolution.
• Champion Best Practices: Develop and promote best practices for data modeling, schema design, and query performance.
• Troubleshoot and Optimize: Serve as a subject matter expert for complex database performance issues, partnering with teams to diagnose, resolve, and learn from production incidents.
• Enable the Team: Develop scripts, documentation, and automation that 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.
• 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 to achieve shared goals.
• 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 with running MongoDB in Atlas.
• Familiarity with other database technologies (e.g., PostgreSQL, Redis, Elasticsearch).
• Experience with large-scale data migration projects.

About Hugging Face

Hugging Face is building the fastest-growing platform for AI builders, serving over 5 million users and 100k organizations. Our community has collectively shared over 1 million models, 300k datasets, and 300k apps. Our open-source libraries have garnered over 400k+ stars on Github.

We are committed to building a culture that values diversity, equity, and inclusivity. We aim to create a workplace where everyone feels respected and supported. We believe this is foundational to building a great company and community, as well as shaping the future of machine learning.

Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

We value development and provide opportunities for continuous growth, including reimbursement for relevant conferences, training, and education. We care about employee well-being, offering flexible working hours, remote options, and comprehensive health, dental, and other benefits.

Note: If you're interested in joining us but don't meet every requirement, we still encourage you to apply. We are building a diverse team and value complementary skills and experiences.