Data Architect

The Data Architect defines and governs the target-state architecture for AdvanSixsUnified Data Layer ensuring that data across SAP OT lab logistics HSE finance and commercial domains is structured integrated and modeled for scale trust and reuse. This role owns the architectural blueprints canonical data models semantic design standards integration patterns and data product design principles that guide engineering delivery across the enterprise. The Data Architect partners closely with the AI Automation and Data team to ensure that what gets built is coherent secure and Responsibilities:Enterprise Data ArchitectureDefine and maintain the target-state architecture for the Unified Data Layer including landing curated and semantic layers domain boundaries and consumption patterns for BI APIs AI and architecture principles for modularity interoperability reusability and governance across business and operational data as the design authority for major data platform and integration Data ModelingDesign enterprise and domain-level canonical models for key entities such as material product asset equipment work order batch vendor customer cost center logistics shipment quality event and energy standards for dimensional modeling semantic modeling event models and reference data structures that support Power BI AI and operational alignment of curated and semantic data products with master data strategy and KPI and Data Product DesignDefine architectural patterns for ingesting and harmonizing data from SAP S4 HANA SAP DataSphere historians LIMS TMS HSE systems and other enterprise platforms into the Unified Data standards for data contracts schema evolution surrogate keys versioning partitioning and semantic that certified datasets and APIs are designed for downstream use by Reporting and BI machine learning Power Platform and Copilot Governance and Design ReviewLead design reviews for new data products major source integrations and semantic layer architectural patterns and ensure alignment with security lineage quality retention and access with Data Strategy and AI Governance to operationalize architecture guardrails into delivery with Engineering and OTWork with the OT Data Integration Lead to ensure plant data models asset hierarchies event frames and OT schemas fit the enterprise architecture without taking over OT connectivity with Big Data Engineers to translate architecture standards into implementable pipeline storage and semantic design with the Manager Unified Data Platform and AI Engineering on platform roadmap architecture decisions and technical debt and EnablementProduce architecture diagrams conceptual and logical data models reference patterns and design reusable templates and guidance for engineers analysts and stakeholders understand how data should be structured and consumed across the Qualifications:Minimum 8 years of experience in enterprise data architecture data modeling and large-scale data platform experience designing lakehouse or enterprise data platform architectures across multiple expertise in conceptual logical and physical data modeling dimensional modeling semantic layer design and canonical data understanding of Azure-based data architectures including Databricks or Fabric and Synapse ADLS or OneLake Data Factory or pipelines and integration with Power knowledge of SAP S4 HANA data structures and SAP DataSphere semantic with OT and industrial data patterns including historians event frames asset hierarchies time-series data and ISA-based knowledge of data contracts schema versioning lineage master data alignment and architecture communication skills with the ability to translate architecture into clear implementation QualificationsExperience in manufacturing chemicals process industries or industrial with TMS LIMS HSE maintenance and finance data with lineage and catalog tooling master data design and KPI canon to API-enabled data product design for AI agents and or Six Sigma mindset and comfort working in cross-functional transformation base salary range for this position is $118800 to $178200 annually.