Data Engineer / Data Architect

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.