Databricks Architect

We are looking for a highly senior, deeply hands on Databricks Architect to lead a large-scale Oracle-to-Databricks migration, covering schema migration, code conversion, and ODI job modernization. The ideal candidate has extensive experience building enterprise-grade data platforms on Databricks, has executed at least one greenfield Databricks implementation, and is exceptionally strong in PySpark, Spark SQL, framework development, and Databricks Workflows., * Lead the full Oracle ? Databricks migration including schema translation, ETL/ELT logic modernization, and ODI job replacement.

• Develop reusable PySpark frameworks, data processing patterns, and orchestration using Databricks Workflows.
• Build scalable, secure, and cost-optimized Databricks infrastructure and data pipelines.
• Collaborate with business and technical stakeholders to drive data modernization strategy.
• Establish development best practices, coding standards, CI/CD, and DevOps/DataOps patterns.
• Provide technical mentorship and create training plans for engineering teams.
• Contribute to building MLOps and advanced operations frameworks.

• 14+ years in Data Engineering/Architecture with at least 4+ years hands-on Databricks experience delivering end-to-end cloud data solutions.
• Strong experience migrating from Oracle/on-prem systems to Databricks, including SQL, PL/SQL, ETL logic, and ODI pipelines.

Deep hands-on expertise in:

• PySpark, Spark SQL, Delta Lake, Unity Catalog
• Designing high-performance batch and streaming pipelines
• Proven experience with greenfield Databricks implementations.
• Strong understanding of cloud-native architectures on AWS and modern data platform concepts.
• Solid knowledge of data warehousing, columnar databases, and performance optimization.
• Good understanding of Agile/Scrum development processes.
• Good Understanding of Golde Gate.