Domain Architect - Data , Senior Specialist

, ensuring our data ecosystem is scalable, secure, governed, and optimized for AI, analytics, and data product enablement. You'll collaborate across subdivisions to establish standards, patterns, and frameworks that enable trusted, high-quality data for the enterprise. If you're passionate about modern data platforms, cloud-native architectures, and driving innovation through data, this is your opportunity to make a lasting impact.

Responsible for defining and evolving end-to-end enterprise data architecture across modern cloud data platforms, including platform strategy, data design, technology evaluation, integration patterns, governance frameworks, and AI-ready data capabilities.

Responsibilities:

• Architects large-scale cloud-native enterprise data platforms leveraging technologies such as Databricks, Apache Iceberg, and Confluent Kafka to support analytics, AI, and operational workloads.
• Designs scalable data platforms supporting operational intelligence, advanced analytics, machine learning, and AI-driven business capabilities.
• Provides hands-on technical leadership in evaluating, prototyping, and implementing emerging data, AI, and cloud technologies.
• Translates complex business and technology requirements into enterprise architecture standards, reference architectures, and implementation roadmaps.
• Serves as a trusted advisor to business and technology leaders, influencing strategic decisions and shaping the future direction of the enterprise data architecture.

• Deep expertise designing and implementing solutions on the Databricks Lakehouse Platform is required.
• Strong experience with event-driven architectures, streaming data platforms, and Kafka-based ecosystems is highly desired.
• Proven track record architecting large-scale data platforms, including lakehouse, data warehouse, streaming, and analytical ecosystems.
• Expertise in conceptual, logical, and physical data modeling using multiple modeling methodologies.
• Experience designing cloud-native data solutions within AWS ecosystems is preferred.
• Experience working on AI, machine learning or GenAI applications is preferred.
• Experience with semantic modeling, ontologies, knowledge graphs, and metadata-driven architectures is a plus.
• Minimum of ten years of related work experience, with at least five years of data architecture experience.
• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.