Description:

Lead the design and delivery of scalable, cloud-based data and analytics solutions for enterprise customers.
Requires expertise in Databricks, Data Engineering, PySpark, Python, SQL, Lakehouse Architecture, and Cloud platforms.

Requirements:

8+ years of experience in Data Engineering, Data Architecture, or related fields.
Strong hands-on expertise in Databricks and enterprise data platforms.
Advanced programming skills in Python and SQL.
Experience with at least one major cloud platform: Azure, AWS, or GCP.
Strong customer-facing consulting experience and excellent communication skills.

Skills