Looking for 10+ Y / highly experienced and deeply hands-on Data Architect to lead the design, build, and optimization of our data platforms on AWS and Databricks. This role requires a strong blend of architectural vision and direct implementation expertise, ensuring scalable, secure, and performant data solutions from concept to production.
Strong hand on exp in data engineering/architecture, hands-on architectural and implementation experience on AWS and Databricks, Schema modeling .
AWS: Deep hands-on expertise with key AWS data services and infrastructure.
Databricks: Expert-level hands-on development with Databricks (Spark SQL, PySpark), Delta Lake, and Unity Catalog.
Coding: Exceptional proficiency in Python , Pyspark , Spark , AWS Services and SQL.
Architectural: Strong data modeling and architectural design skills with a focus on practical implementation.
Preferred: AWS/Databricks certifications, experience with streaming technologies, and other data tools.
Design & Build: Lead and personally execute the design, development, and deployment of complex data architectures and pipelines on AWS (S3, Glue, Lambda, Redshift, etc.) and Databricks (PySpark/Spark SQL, Delta Lake, Unity Catalog).
Databricks Expertise: Own the hands-on development, optimization, and performance tuning of Databricks jobs, clusters, and notebooks.
Keyskills: Architect databricks AWS