The position is for a Data Technical Architect specializing in MongoDB Sharding, based in the United States and offered by Hugging Face.
The role involves serving as a key technical leader responsible for the design, scaling, and optimization of a complex MongoDB environment.
Responsibilities include collaborating with engineering and product teams to design scalable and high-performing MongoDB architectures.
The architect will implement and optimize sharding strategies, schema design, and query performance to meet growing data needs.
Troubleshooting complex database issues, leading root cause analyses, and providing solutions for production incidents are essential tasks.
The role requires direct contributions to application codebases, including adjustments to queries and data access layers.
The architect will define, document, and promote best practices for database usage and develop automation tools to enhance developer productivity.
Acting as a subject matter expert on MongoDB internals and data layer optimization across engineering teams is a key accountability.
The position is ideal for someone passionate about large-scale database challenges and fostering collaboration across teams.
Requirements:
Candidates must have 4+ years of experience in data engineering or architecture, with a strong focus on MongoDB.
Proven hands-on experience implementing MongoDB sharding in production is required, along with the ability to evaluate and explain trade-offs.
Strong coding proficiency in a modern programming language, preferably Typescript or Node.js, with application-level database integration experience is necessary.
Deep practical knowledge of MongoDB internals, including indexing, replication, aggregation, and storage engines, is essential.
Strong collaboration skills and experience working within cross-functional teams are required.
Excellent written and asynchronous communication skills are necessary, with the ability to lead technical discussions and build consensus.
Bonus skills include experience with Infrastructure as Code (IaC) tools like Terraform or Pulumi, MongoDB Atlas, PostgreSQL, Redis, Elasticsearch, or large-scale migration projects.
Benefits:
The position offers a competitive salary and equity participation to share in the company’s long-term success.
Flexible working hours with remote-first options are available, along with offices in New York and Paris for in-person collaboration.
Comprehensive health, dental, and vision insurance is provided for employees and their dependents.
Paid parental leave and flexible paid time off are included in the benefits package.
Professional development support is offered, including reimbursement for conferences, training, and education.
Workstation setup and equipment will be provided for remote employees.
The company promotes an inclusive and diverse work culture with opportunities to collaborate with top talent worldwide.