Data Architect

Role Summary We are looking for a well-rounded Principal Data Architect who can define the data architecture across a broad range of operational and analytical systems. This senior individual-contributor role will help shape several next-generation capabilities, including a Databricks-based lakehouse, an MDM platform supporting cross-domain product flows, an event-driven architecture built around Kafka, and related capabilities such as cross-domain authorization that depend on a consistent enterprise knowledge graph. The architect will set direction, make and document key trade-offs, and work closely with product managers, engineering teams and senior leaders to turn business needs into scalable, secure and cost-conscious data solutions.

Main

Define the target data architecture, system boundaries, principles and standards for operational, analytical and AI data use cases. Own conceptual, logical and physical data models, including canonical models, domain models, ontologies and relationships between domains, classes and properties. Design architectures covering OLTP, OLAP, lakehouse, event-driven, API, CDC, batch and streaming use cases.

Select the right storage and processing patterns across row, column, key-value, wide-column, object and graph technologies. Define how data changes over time are handled, including versioning, history, slowly changing dimensions, Data Vault and event-sourced approaches. Define governance, metadata, lineage, quality, access-co