The Enterprise Data Architect is responsible for the data strategies and architectures that are aligned with the company's mission, strategy, goals, and objectives. This position will translate business requirements into the appropriate data models that integrate with the overall logical data warehouse. Will lead and work collaboratively with business and technology stakeholders to establish and maintain the enterprise data reporting architecture, strategy and roadmap . Will define, document, and apply business rules to enterprise data. Also assist as needed in the design and development of ETL standards, policies, procedures, and metadata to ensure accuracy, quality, integrity, and optimization of this information. Responsibilities: o Develop and operationalize strategies and initiatives for data integration architecture at the enterprise level.? o Define standards for naming, describing, managing, modeling, cleansing, enriching, transforming, moving, storing, searching and delivering all data within the enterprise and do gap analysis and resolution, if needed. o Put processes around metadata to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata. o Participate in developing consistent definitions for common reference data and master data management. o Create and maintain the enterprise data flow diagrams, system diagrams, business and logical systems integration as it pertains to BI. o Understand business taxonomy and provides data analysis, design, modeling, and implementation leadership to project teams, database development group(s), IT, and the enterprise and ensure that reporting solutions are aligned with architectural direction. o Organize and lead teams to develop and refine conceptual data information models and participate in code reviews to support project development processes. o Extend conceptual models with business rules to develop logical data models. Develop analytical models using statistical analysis tools, data mining, and other tools to create high-level data architecture diagrams documenting system and data flows. o Provide guidance and support in the development of information value chain analysis, data quality metrics and metadata capture. o Evaluate alternatives for integrating legacy data sources with enterprise relational models and strategies for transactional and analytical systems to effectively share data. o Establish and maintain alignment of the data architectures with BMC's business strategy, goals and objectives, and will work with the Enterprise Solutions Architect and Master Data teams to ensure that the defined architectures align with other key enterprise architecture domains (e.g. application, data, security, etc.). Required Skills o BS degree in Computer Science or related field/equivalent experience o 10+ years of IT experience including development of large scale, complex data architectures o Demonstrated ability to architect and model mission critical BI, OLTP, OLAP, ETL, solutions leveraging multiple DBMS technologies (Erwin, Oracle, Informatica, SAP BO/ECC, BW/HANA) o Operational expertise in the use of SQL/PLSQL o Demonstrated ability to architect and model data services using SOA principles. o Demonstrated experience translating business and technical requirements into comprehensive data reporting strategies and analytic solutions. o Extensive background and expertise in developing and managing data technologies, technical operations, reusable data services, and related tools and technologies including experience in master data management. o Working knowledge of and experience with other enterprise domains (application, infrastructure, web, ecommerce, ERP etc.), IT Governance frameworks, concepts, methodologies and modeling techniques. Associated topics: data administrator, data analyst, data analytic, data manager, data management, data scientist, data warehouse, mongo database administrator, sql, teradata
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.