Senior Data Architect
4 weeks ago
The Senior Data Architect plays a crucial role in creating high-quality data models setting up business objects on WORKDAY. Experience cross delivering data solutions aligned with WD FDM (Foundational Data Model) with one or more of the following Workday HCM modules: Core HR, Benefits, Payroll, Time & Labor, Recruiting, Compensation, Talent Management, Absence Management. The individual must have solid understanding Workday Financials data (Banking and Settlements, Business Assets, Contracts to Cash, Expenses, FDM, Inventory, Procure to Pay, Project, Project Billing, Record to Report data
The individual must be an expert in data structures to support downstream analytics, reporting, and application requirements. Collaborating with business, IT and analytics colleagues, the Senior Data Architect understands data needs and designs optimized structures. The Senior Data Architect's models reduce redundancy, streamline data flow, and enhance enterprise data management. Leveraging best practices, the Senior Data Architect creates timely, reliable and scalable data products. As a recognized subject matter expert, the Senior Data Architect tackles complex problems with a broad perspective.
The role will encompass develop Master Data Object into WD aligned with WD FDM and sub-set Data objects in SF.
Your responsibilities may include, but are not limited to:
- Assemble large, complex data sets that align with business requirements.
- Analyze and translate business needs into long-term solution data models.
- Design & implement effective database solutions and models for storing and retrieving company data.
- Collaborate with the development team to create conceptual data models and data flows.
- Implement data strategies and developing physical data models.
- Lead data modeling strategy for complex projects from start to finish.
- Update and optimize local and metadata models.
- Identify database structural necessities by evaluating business operations, applications, and programming.
Preferred Qualifications
- Experience building and optimizing big-data pipelines, architectures and data sets.
- Excellent organizational and analytical abilities.
- Outstanding problem solving.
- Understanding of best practices in Data Warehousing and Data Lake architecture
- Strong knowledge of database structure systems and data mining.
- Understanding of agile methodologies and experience on a cross-functional agile team.
- Expert knowledge of metadata management and related tools.
- Experience deploying and maintaining code with version control tools.
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