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.

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