Databricks ML (Lead )

Role & responsibilities

o Lead architecture and design discussions for new data and analytics use cases
o Design scalable Lakehouse architecture using Azure Databricks and Azure Data Lake Storage Gen2
o Define data ingestion transformation orchestration and consumption frameworks
o Architect batch and realtime data processing solutions
o Develop data models supporting reporting analytics AIML and business intelligence requirements
o Establish enterprise data governance security and monitoring standards
o Collaborate with business stakeholders to translate business requirements into technical solutions
o Drive performance optimization cost optimization and platform scalability initiatives
o Define CICD DevOps and Infrastructure as Code standards for data platforms
o Mentor data engineers and provide technical leadership across delivery teams
o Support effort estimation technical roadmap creation and solution

Preferred candidate profile

Databricks ML (Lead Position)

Candidate having lead experince and ready to work on indiviually on coding