Enterprise Azure Data Architect

• Own the end-to-end architecture and strategic direction of the Azure Databricks Lakehouse platform, including data ingestion, storage, processing, governance, and consumption frameworks.
• Define and maintain enterprise architecture standards for the Lakehouse, including medallion design patterns, Delta Lake implementation, data modeling, metadata management, and platform scalability.
• Architect and oversee near-real-time and batch replication of Customer Information System (CIS) data, ensuring data accuracy, integrity, and compliance.
• Design and govern integration patterns supporting downstream applications, enabling secure and reliable data consumption.
• Serve as the final architectural approval authority for standards, design patterns, data integration approaches, and technology decisions within the Customer Data Platform ecosystem.
• Partner with data science, analytics, and business teams to establish scalable and secure architectural patterns supporting machine learning, AI, and advanced analytics.
• Provide oversight and governance for vendor, consulting, and system integration partners, fostering collaboration aligned with enterprise standards.
• Establish standards and best practices for data quality, lineage, cataloging, observability, and governance using tools such as Unity Catalog.
• Lead architecture decisions for Change Data Capture (CDC), streaming, and data integration technologies.
• Define logical and physical data models supporting operational reporting, BI, analytics, and regulatory compliance.
• Collaborate with cybersecurity and compliance teams to implement controls for data protection and privacy.
• Design and maintain architecture patterns supporting high availability, disaster recovery, and operational resilience.
• Provide technical leadership for Data Engineering teams, including architecture reviews, design guidance, and mentorship.
• Develop and maintain architecture artifacts such as reference architectures, data flow diagrams, ADRs, standards, and platform roadmaps.
• Support capacity planning and platform cost optimization activities.
• Evaluate emerging technologies and industry best practices to improve the Lakehouse platform.
• Support incident investigations and platform improvement initiatives to enhance reliability and performance.
• Serve as the enterprise authority on customer, billing, metering, and utility data architecture, ensuring consistency and interoperability.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
• Minimum of 8 years of experience in data architecture, data engineering, or analytics platform engineering.
• At least 3 years in a senior architecture or technical leadership role.
• Demonstrated experience designing and governing large-scale cloud data platforms, preferably Azure-based Lakehouse architectures.
• Deep expertise with Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, Unity Catalog, and related Azure data services.
• Strong experience with data ingestion, replication, ETL/ELT, and streaming architectures.
• Experience with Apache Spark, Databricks Workflows, Delta Live Tables, Structured Streaming, Event Hubs, Kafka, or similar technologies.
• Knowledge of data modeling principles, including dimensional modeling, Data Vault, and Lakehouse patterns.
• Experience with data quality, metadata management, lineage, and data governance tools.
• Understanding of CDC technologies and replication frameworks such as Qlik Replicate, HVR, Fivetran, Debezium, or Golden Gate.
• Experience designing secure data architectures, including access control, encryption, masking, and compliance standards.
• Familiarity with platform resiliency, high availability, disaster recovery, and observability practices.
• Proven ability to establish…