MongoDB Data Architect / Data Modeler

  • Plano, TX
  • Posted 9 days ago | Updated 8 days ago

Overview

On Site
USD 60-70
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

MongoDB

Job Details

Job Title: MongoDB Data Architect / Data Modeler

Location: Plano, TX (Hybrid 3 days onsite, 2 days remote)

Duration: Contract (Long-Term Potential)

Job Description

We are seeking a highly skilled MongoDB Data Architect / Data Modeler to join our client team in Plano, TX. The ideal candidate will have strong experience designing and optimizing NoSQL database structures, particularly in MongoDB, and possess the ability to create scalable, high-performance data models to support enterprise applications.

Key Responsibilities:

  • Design and implement MongoDB data models to support new and existing applications.
  • Optimize MongoDB collections, indexes, and queries for performance and scalability.
  • Collaborate with developers, business analysts, and other stakeholders to understand data requirements and translate them into data architecture solutions.
  • Establish data modeling best practices and maintain data architecture documentation.
  • Work with cloud platforms and integrate MongoDB into hybrid cloud environments.
  • Ensure data integrity, security, and privacy compliance throughout all solutions.
  • Participate in code and design reviews to maintain quality stand

Required Skills:

  • 8+ years of overall experience in database architecture and design.
  • 3+ years of strong hands-on experience with MongoDB as a Data Architect / Modeler.
  • Deep understanding of NoSQL database principles and best practices.
  • Experience with data modeling tools and MongoDB Atlas.
  • Strong knowledge of JSON document structure, data pipelines, indexing, and aggregation frameworks.
  • Exposure to data migration and integration strategies from RDBMS to MongoDB.
  • Experience in hybrid environments (on-prem and cloud).
  • Excellent problem-solving and communication skills.

Preferred Qualifications:

  • Experience with AWS, Azure, or Google Cloud Platform cloud environments.
  • Prior experience with Mongoose, Node.js, or related backend technologies.
  • MongoDB Certification is a plus.

Thanks, and Regards

Saikiran

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