Job Description

Job Summary

Develops and maintains a formal description of the data and data structures including the data models, data flow diagrams, data dictionaries and technical metadata.

• Understand Enterprise Information Needs
• Develop and Maintain the Enterprise Data Model
• Analyze and Align with Other Business Models
• Define and Maintain the Data Technology Architecture
• Define and Maintain the Data Integration Architecture
• Define and Maintain the Data Warehouse and BI Architecture
• Define and Maintain Enterprise Taxonomies and Namespaces
• Define and Maintain the Meta-data Architecture

Job Responsibilities

• Conceptualizes the overall data architectural framework for large, complex analysis of data for use across the enterprise.
• Responsible for analyzing and translating business, application, information, data, reporting, and analytical requirements into an architectural blueprint that outlines solutions to achieve business objectives.
• Leverages data expertise to ensure an optimal systems design from a technical performance, efficiency and operating cost perspective.
• Monitors and evaluates trends and innovations in the data marketplace to determine if they could effectively enhance the performance of internal systems and/or hardware.
• Designs and implements technical standards relative to the deployed data platforms to ensure their effective maintenance and stable management.
• From a technical perspective, plans significant upgrades or systems enhancements to improve performance and may serve as the project manager for larger enhancements.
• Collaborates with Data Engineers on data model, its maintenance and optimization as well as end-to-end data driven integration strategy.
• Participates in developing the future state data architecture standards, guidelines, and principles.
• Optimizes performance of queries and ELT/ETL procedures. Enhances batch routines by optimizing for more modern near real-time capabilities.
• Builds high quality data pipelines driving analytic solutions.
• Drives data platform architectural decisions and development standards.

About Walgreens and WBA :

Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy and U.S. Healthcare segments of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader with a 170 year heritage of caring for communities. WBA\xe2\x80\x99s purpose is to create more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving nearly 10 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that drive equitable access to care for the nation\xe2\x80\x99s medically underserved populations. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with fully integrated physical and digital platforms supported by the latest technology to deliver high quality products and services in communities nationwide.
Basic Qualifications

• Bachelor\xe2\x80\x99s Degree and at least 4 years of experience in data / analytics architecture, engineering design, configuration experience and/or related field OR High School/GED and at least 7 years of experience in data / analytics architecture, engineering design, configuration experience and/or related field
• At least 1 year of experience in domain-specific Architecture.
• Experience creating cloud base solutions
• Knowledge of DevOps
• At least 2 years of experience contributing to financial decisions in the workplace.
• At least 2 years of direct leadership, indirect leadership and/or cross-functional team leadership.
• Willing to travel up to 10% of the time for business purposes (within state and out of state).

Preferred Qualifications

• Bachelor\xe2\x80\x99s Degree in Computer Science, Mathematics or Information Technology

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Walgreens