Data Architect
Role Overview
We seek a skilled Data Architect to lead the design, structuring, and management of enterprise data solutions powering our AI/ML platforms. You'll collaborate closely with engineers to ensure robust, scalable, and high-quality data pipelines for model development and analytics.
Key Responsibilities
- Design and oversee data models, schemas, and architectures for cloud and hybrid environments.
- Build scalable ETL/ELT pipelines; ensure data integrity, security, and governance throughout the lifecycle.
- Collaborate with ML engineers to optimize data structures for AI training and retrieval.
- Evaluate new database technologies, best practices, and lead data architecture reviews.
Qualifications
- Bachelor's or Master's in Computer Science, Data Engineering, Information Systems, or related field.
- 7+ years experience designing and implementing scalable data architectures in enterprise or large-scale environments.
- Deep expertise in multiple cloud data platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop, Snowflake, Redshift, BigQuery).
- History of driving data modeling, ETL/ELT pipeline development, and data governance for AI/ML workflows.
- Experience architecting solutions for complex, high-velocity, and regulated data sets.
- Strong leadership of cross-functional data teams.
What You'll Get
- Lead data architecture for scalable, cutting-edge AI systems.
- Flexible remote work and growth opportunities.
