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 premio.
- 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.