Design and architect enterprise-scale data platforms using

Databricks Lakehouse

architecture.

Lead data modernization initiatives including migration from legacy data warehouses to cloud-based platforms.

Define best practices for

data ingestion, transformation, storage, and analytics

using Databricks.

Implement and optimize

Apache Spark, Delta Lake, and Unity Catalog .

Ensure data security, governance, metadata management, and compliance standards are met.

Collaborate with cloud, data engineering, analytics, and business stakeholders to translate requirements into technical solutions.

Provide architectural guidance, code reviews, and technical leadership to delivery teams.

Support CI/CD pipelines, automation, and infrastructure-as-code for data platforms.

Troubleshoot performance, scalability, and cost optimization issues.

Required Skills & Qualifications