Enterprise Oracle Architect

• Define and lead enterprise data platform architecture and modernization strategies for large organizations.
• Engage with client stakeholders to shape data transformation roadmaps and modernization journeys.
• Design end-to-end data architectures spanning data ingestion, processing, storage, governance, and analytics layers.
• Define and implement data governance, data quality, and data management frameworks.
• Architect modern cloud and hybrid data platforms leveraging Azure, Databricks, Snowflake, and Oracle ecosystems.
• Good knowledge of Oracle Multitenant (CDB/PDB) database architecture. Lead Oracle database upgrade strategies (11g / 12c 19c / 21c).
• Guide engineering teams on data engineering patterns, scalable pipelines, and lakehouse architectures.
• Provide thought leadership in shaping enterprise data architecture standards and innovation initiatives.

Experience: 18+ years in enterprise data platform architecture and designs.

Language: Fluent German and English (must be able to lead client discussions and workshops in Germany)., * Deep expertise in enterprise data architecture and modern data platforms.

• Strong hands-on experience with Azure Data Platform ecosystem, Microsoft Fabric, AWS, Databricks, Snowflake, etc.
• Strong past hands-on experience in Oracle data warehouse environments and legacy Oracle database platforms (11g, 19c, etc.), PL/SQL.
• Strong understanding of data governance, data quality, metadata management, and enterprise data management practices.
• Experience designing modern data architectures integrating cloud and on-prem environments.
• Strong consulting mindset and stakeholder communication skills.

Certifications (Preferred):

Certified Cloud Data Architect (Azure/ AWS)

Snowflake/ Databricks advanced certifications