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Job summary
A forward-looking technology company is seeking a Data Engineer/Data Architect to lead data architecture initiatives. This role involves hands-on data engineering focused on MongoDB-based solutions, performance optimization, and designing scalable data infrastructure. You will also lead data modeling, create ETL pipelines, and ensure compliance with data governance standards. The position offers a competitive salary, remote-first culture, and opportunities for professional development.
Benefits
Qualifications
- Advanced knowledge of MongoDB and MQL.
- Strong data modeling skills for NoSQL and RDBMS.
- Understanding of main data solutions and tradeoffs.
- Proficient in Python and SQL.
- Experience in data encryption and security.
Responsibilities
- Lead data modeling initiatives in MongoDB.
- Design ETL and CDC pipelines between MongoDB and external systems.
- Architect scalable data structures and evaluate alternatives.
- Maintain databases through automation and performance optimization.
- Implement data encryption and security measures.
Skills
Tools
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altermAInd is a company that offers solutions enabling organizations to overcome limits, uncover hidden opportunities, and drive transformative growth.
Location: Flexible / Remote
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.
- 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
- 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
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.