Opportunity Description
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
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
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