Data Architect (Remote)

First San Francisco Partners is a business advisory and enterprise information management (EIM) consultancy dedicated to helping companies leverage their data to improve strategic decision-making, reduce risk, create operational efficiencies and fuel unprecedented business success. Our services span data governance, data quality strategies, data management architecture, master data management strategy and implementation, analytics and big data. Job Responsibilities and Duties We have an immediate opening for a Data Architect to who will have a hands-on role with responsibility to develop data architecture and modeling strategies, design, implement and support data architecture deliverables for multiple data integration, data management, data warehousing, business intelligence and analytics projects. They will also be able to deliver solid, extensible, highly-available data models and data environments that supports the current and future business and technical requirements. Develops and maintains architectures for the high-level data environments of the enterprise, at the reference, conceptual, and logical levels, ensuring that these align to overall business strategy Ensures that database and data storage technologies support the data management needs of the enterprise Develops, communicates, supports, and monitors compliance with Data Modeling standards Evaluates proposals for development projects to ensure they adhere to all data architecture standards Develops and maintains standard patterns for data layers, data stores, and utility data management processes (e.g. data movement, data integration) for application across the enterprise Assists development projects, either directly or indirectly by liaising with a solution architect, to ensure that good data architecture is implemented in these projects. Evaluates currently implemented systems to determine their viability in terms of data architecture Participates in the oversight of setting data standards, for reference data, data formats, and similar needs. Identifies standard metadata for describing data assets. Develops standards for the semantic needs of data, including different kinds of models (e.g. subject areas models, data classification schemes, standards for ontologies). Ensures all documentation for data architecture is of high quality and properly curated