Data ArchitectLocation: Chicago, IL Duration: FulltimeMandatory Technical SkillsProficiency in SQL & Python programming expertiseExperience with ETL tools and processesKnowledge of data visualization toolsUnderstanding of machine learning and AI conceptsExperience with data integration and API technologiesKnowledge of data quality and master data management principlesExpert knowledge in Databricks platform and ecosystemStrong data architecture and engineering expertiseExperience with big data technologiesProficiency in cloud platformsUnderstanding of data security and governanceKnowledge of data integration patternsExperience with Delta Lake architectureDesirable Technical SkillsStrong understanding of database management systems (RDBMS and NoSQL)Expertise in data modeling, ETL/ELT processes, and data integration tools.Expertise in data modeling and designKnowledge of data warehousing concepts and methodologiesExperience with cloud-based data solutions (AWS)Familiarity with big data technologiesUnderstanding of data governance and compliance requirementsProven experience in enterprise architectureStrong background in data platformsExperience leading technical teamsDemonstrated expertise in solution architectureStrong communication and leadership skillsJob ResponsibilitiesDesign and implement enterprise-wide data architecture strategiesDevelop data models, schemas, and data flow diagramsDevelop data models and metadata standards to ensure consistency and accessibility across the organization.Establish data governance policies and standardsCollaborate with stakeholders to align data architecture with business needsEnsure data security, privacy, and complianceOptimize data storage and retrieval systemsLead data integration and migration projectsProvide thought leadership on emerging data technologies and trendsProvide industry-leading thought leadership in data architectureDesign and develop strategies across multiple domainsLead enterprise architecture models and repositoriesFacilitate development of architecture patterns and standardsDefine roadmaps for current to future state capabilitiesCollaborate with business partners on solution designBridge business needs with technology deliveryWork closely with engineering teams to implement ETL/ELT pipelines, data integration, and migration strategies