Data Architect

Data Architect - Experience in the P&C Insurance domain Objectives Participate in design, development and implementation of architectural deliverables, to include components of the assessment and optimization of system design and review of user requirements. Contributes to the development and maintenance of data applications including the data, software and infrastructure architectures and assures that this architecture is integrated with the business area architectures and the enterprise data architecture. Assures that the data application architecture is consistent with enterprise application standards and disaster recovery plan requirements. Daily and monthly responsibilities Provides technical knowledge and capabilities as a team member and individual contributor. Provide strategic thinking, solutions, and roadmaps while driving architectural recommendations. Maintain current and future state architecture. Provide conceptual and logical data architecture design. Provide IT architecture direction to business areas. Serves as a fully seasoned and proficient technical resource; provide technical knowledge and capabilities as team member and individual contributor. May lead multiple projects with competing deadlines. Will not have direct reports but will influence and direct activities of a team related to special initiatives or operations. Basic qualifications Bachelor’s degree in computer engineering, computer science, information systems, or related field. 5+ years in Enterprise, application, and information Data Architecture Design. Knowledge of IBM DB2, Oracle, MS SQL Developer Databases Understanding of Life Insurance data models / industry standards Ability to clearly present to senior management with confidence. Database and application development experience in relational Databases Experience data modeling in transactional and operational reporting and analytical (ODS, EDW) solutions. Experience with capacity planning, database scripting and package deployment. Data Modeling, Data Warehousing, Dimensional Modeling, Data Modeling Experience with data replication methodology; Master Data Management; Managing Reference Data Experience with data warehouse, Data Mart, or Data Lake. Expertise in tuning and debugging SQL and resolving application specific bottlenecks. Experience using (Erwin, TOAD, or any other data modeling tool) for data modeling. Working knowledge of data security frameworks, data quality frameworks, metadata management & data catalogs and data governance frameworks. Regards