Data Architect

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.