Location: Flexible / Remote About the Role We are seeking a Data Engineer / Data Architect to lead data architecture and engineering initiatives. This role combines hands-on data engineering with strategic architecture planning, focusing on MongoDB-based solutions, performance optimization, and scalable data infrastructure design. What will you do? Lead data modeling initiatives in MongoDB, implementing MongoDB design patterns for both transactional and analytical workloads Design ETL and CDC pipelines between MongoDB and external systems Architect scalable data structures, evaluate data architecture alternatives, and propose migration strategies to different architectures when needed Maintain databases through automated scripting, performance optimization, query performance evaluation, and index tuning Implement data encryption and security measures to ensure compliance with governance standards Who are you? MongoDB expertise: Advanced knowledge of MongoDB, MQL, aggregation framework, MongoDB design patterns, query optimization, and index management Data modeling & architecture: Strong data modeling skills for both NoSQL and RDBMS environments, ability to evaluate different data architectures and propose migration strategies Database knowledge: Understanding of main data solutions and databases (relational, NoSQL, time-series, etc.) and their tradeoffs to effectively propose new solutions and migrations Programming: Proficient in Python for data processing and SQL for relational database operations Security: Experience implementing data encryption and security measures Cloud & DevOps: Microsoft Azure data tools experience What do we offer? Competitive salary with performance-based bonus. Remote-first culture and flexible working hours. Annual budget for learning, certifications, and conferences in AI / ML and DevOps. Modern equipment plus a stipend for your home office. The chance to shape production GenAI systems from the ground up in a fast-growing company. J-18808-Ljbffr