Centerwell Associate Director, Data Architecture in Spokane, Washington
The Associate Director, Data Architecture works in all data environments which includes data design, database architecture, metadata and repository creation. The Associate Director, Data Architecture requires a solid understanding of how organization capabilities interrelate across department(s).
The Associate Director, Data Architecture responsible for developing blueprints for all data repositories, evaluating hardware and software platforms, and integrating systems. Translates business needs into long-term data architecture solutions. Defines, designs and builds dimensional database schemas. Evaluates reusability of current data for separate analyses. Conducts data sheering to rid the system of old, unused or duplicate data. Reviews object and data models and the metadata repository to structure the data for better management and quicker access. Decisions are typically related to identifying and resolving complex technical and operational problems within department(s), and could lead multiple managers or highly specialized professional associates.
The Associate Director, Data Architecture integrates data from multiple sources to produce requested or required data elements. Programs and maintains report forms and formats, information dashboards, data generators, canned reports and other end-user information portals or resources. May create specifications for reports based on business requests. Decisions are typically related to identifying and resolving complex technical and operational problems within department(s).
Bachelor's Degree in Computer Science, Information Technology or related field
6 or more years of technical experience
2 or more years of management experience
Operational Data Integration for real-time APIs
Big Data Integration & Analytics
Proficient with ETL tools
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Experience with ETL tools such as SQL Server Integration Services, specifically SQL Server Data Tools and/or Informatica.
Experience with Scheduling tools (e.g. Dollar Universe or IBM Workload Scheduler).
Scheduled Weekly Hours
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