Enterprise Data Architect

Omniskope is a technology consulting partner specializing in enterprise data, analytics, AI, and cloud transformation. We help organizations modernize legacy data platforms, build scalable data products, and leverage cloud-native technologies to enable data-driven decision making. Our consultants work on enterprise-scale modernization initiatives involving Azure, Databricks, and modern Lakehouse architectures, delivering secure, governed, and high-performance data platforms.

The Enterprise Data Architect is responsible for defining and governing the organization's modern data platform architecture with a strong focus on Azure Databricks, enterprise data modernization, information security, and data governance. This role leads the migration of legacy Enterprise Data Warehouse (EDW) platforms to a scalable Lakehouse architecture while establishing enterprise standards for security, governance, and data product development.

• Own the end-to-end architecture for enterprise data platforms built on Azure Databricks.
• Lead enterprise-scale migration initiatives from legacy Enterprise Data Warehouse (EDW) platforms to Azure Databricks.
• Design and govern Lakehouse solutions using Medallion Architecture (Bronze, Silver, and Gold layers).
• Define enterprise data architecture standards, reusable frameworks, and best practices.
• Design scalable enterprise data products supporting analytics, reporting, and business operations.
• Architect data ingestion and transformation strategies across enterprise systems, including HR, Compliance, Customer, and Service Management platforms.
• Establish enterprise data governance frameworks, including data quality, metadata management, lineage, classification, and lifecycle management.
• Define security architecture, including identity management, role-based access control (RBAC), encryption, and data protection strategies.
• Ensure compliance with enterprise security, governance, privacy, and regulatory requirements.
• Review and approve architectural decisions related to integrations, data models, platform performance, and scalability.
• Provide technical leadership and architectural guidance to engineering teams throughout the project lifecycle.
• Collaborate with product managers, engineering teams, and business stakeholders to define the enterprise data roadmap.

• Strong experience leading Enterprise Data Warehouse (EDW) modernization and cloud migration initiatives.
• Deep understanding of Lakehouse Architecture, Delta Lake, and Medallion Architecture.
• Strong background in Information Security, Data Governance, and enterprise data management.
• Experience implementing data governance frameworks, metadata management, data lineage, and data quality standards.
• Strong knowledge of Azure security services, RBAC, encryption, identity management, and compliance frameworks.
• Experience designing enterprise-scale data products and cloud-native data architectures.
• Excellent stakeholder management and architectural leadership skills.
• 10+ years of Data Engineering or Data Architecture experience, with at least 5 years focused on Azure Databricks.
• Experience in consulting or enterprise transformation projects is highly preferred.