Description

· Lead end-to-end architecture and delivery of data platforms using Databricks, Snowflake, GCP, and Azure · Engage directly with clients to understand business needs and translate them into scalable data solutions · Drive adoption of lakehouse architectures, data engineering best practices, and AI/ML modernization · Collaborate with cross-functional teams including data engineers, architects, and business stakeholders · Define and enforce data governance, security, and performance standards · Mentor and grow a team of data professionals; contribute to practice development Ways to stand out · Architect scalable, cloud-native data platforms · Master Databricks, Snowflake, GCP, and Azure ecosystems · Bridge business needs with technical solutions · Champion data governance and AI-ready pipelines · Lead client engagements and transformation programs

Mandatory skill sets:

· Deep expertise in Databricks, Snowflake, Azure Data Services, and Google ...