Lead Data Architect

Overview In this role you drive the AI transformation by shaping the enterprise data foundation. You will design logical data models, ontologies, and feature-rich pipelines in a Databricks-centric setup, collaborating with Data Product Owners to ensure semantic consistency across the enterprise. You’ll work with SAP, Apriso and other sources to guide ingestion and enable AI agents and analytics. You will produce reusable architecture artifacts and advance semantic modeling to support productized data assets. Compensation / BenefitsMedicalDentalVisionFlexible work arrangements401(k) matchPaid time off ResponsibilitiesCollaborate with Data Product Owners to capture requirements and create robust logical data modelsDesign federated ontologies and knowledge-graph structures to power AI agents and analyticsEnsure models deliver clean feature sets for ML pipelines and embed model-ready attributesDefine representations for SAP, Apriso, and other source systems and guide semantic-preserving ingestionProduce architecture artifacts and enforce data quality, security, and lineage standardsDesign data entities for productization to meet documented use casesCollaborate with Lead Data Engineer to validate designsImprove modeling processes, promote ontology reuse, and stay current on semantic modeling and Databricks advancesAdvise on the technology stack used by the team Key requirementsBachelor’s or higher in CS, Systems Engineering, Information Management, or related field10+ years of large-scale data architecture/engineering experience5+ years productizing data assets for enterprise consumptionSignificant experience designing/operationalizing ontologiesStrong problem-solving to understand customer needsProficient in Python and SQL; experience with Spark (PySpark/Scala) and AI-assisted developmentExperience with data integration/orchestration tools (e.g., NiFi, Airflow)US Citizenship requiredinterpersonal collaborationcross-functional teamworkeffective communicationDatabricks (Delta Lake, Unity Catalog, Jobs/Workflows)federated data models and ontologiesPython