Data Architect

Principal Data Modeling ArchitectWe are seeking an experienced Data Modeling Architect to design and oversee the implementation of enterprise-wide data architecture solutions, with a primary focus on enterprise application data models. The ideal candidate will bridge the gap between business requirements and technical solutions while ensuring data consistency, integration, and scalability across the organization's application ecosystem.Key ResponsibilitiesLead data architecture reviews and provide technical oversight for major projectsDevelop data modeling standards, best practices, and governance frameworks for enterprise applicationsGuide development teams in implementing data models and ensuring adherence to architectural standardsEvaluate and recommend data management tools and technologies that support enterprise application integrationLead the development and maintenance of enterprise-wide data models, with particular emphasis on creating unified data models that support multiple business applications and domainsDesign and implement data integration patterns between enterprise applications, ensuring seamless data flow and maintaining data consistencyCreate and maintain detailed documentation of data architectures, including entity-relationship diagrams, data dictionaries, and data lineage mappingsPartner with enterprise architects and solution architects to align data architecture with overall enterprise architecture strategyCollaborate with business stakeholders to understand data requirements and translate them into scalable architectural solutionsRequired QualificationsBachelor's degree in Computer Science, Information Systems, or related field10 + years of experience in data architecture, with at least 5 years focused on enterprise application data modelingExtensive experience with enterprise data modeling tools and methodologiesDeep understanding of data integration patterns and enterprise application architectureProven experience in designing and implementing large-scale data models that span multiple business domainsStrong knowledge of data governance principles and data quality managementExpert-level proficiency in SQL, with specific expertise in PostgreSQL database design and optimizationProven experience in NoSQL database modeling and implementation (e.g., MongoDB, Cassandra, or similar)Advanced expertise in data modeling tools (e.g., ERStudio, PowerDesigner, ERwin)Proficiency in enterprise application integration patterns and technologiesStrong experience in PostgreSQL-specific features including partitioning, inheritance, and custom typesExpertise in NoSQL data modeling patterns (document, key-value, wide-column, graph)Experience with master data management (MDM) solutionsFamiliarity with cloud data platforms (AWS, Azure, or GCP)Experience with data governance tools and metadata management platformsStrong analytical and problem-solving abilities, Excellent communication skills, with ability to explain complex technical concepts to non-technical stakeholdersPreferred QualificationsMaster's degree in related fieldIndustry certifications (e.g., CDMP, TOGAF)Experience with data lake architectureKnowledge of data privacy regulations and compliance requirementsExperience with graph databases and semantic data modeling

Created: 2025-01-24