Overview
Do you want to be part of a technology company with an AI-first approach, shaping the invisible by blending AI innovation with human experience?
altermAInd is a company that offers solutions enabling organizations to overcome limits, uncover hidden opportunities, and drive transformative growth.
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.
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