Data Foundation Lead

Key Skills

Apache Hive, Design of Experiment, Java Programming, Apache Kafka, MySQL, NoSQL, Apache Pig, Python Programming, SPARK Programming, SQL

Job Description

This role is responsible for successful delivery of large-scale data structures and Pipelines and efficient Extract/Load/Transform (ETL) workflows. Acts as the data engineering team lead for large and complex projects involving multiple resources and task

Job Responsibilities

• Directs the activities of one or more data engineering teams.
• Provides operational as well strategic leadership for the design, development, testing and delivery of large scale data centric frameworks and analytics centric, products driven enterprise integration.
• Leads development and execution of highly complex and large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs.
• Leads enterprise integration of analytics assets into member engagement products through API, streaming and file based interfacing technologies.
• Anticipates and solves highly complex problems with detailed knowledge of multiple programming languages and data infrastructure.
• Leads big data centric migration efforts from on-prem to cloud platforms, hands on experience with cloud engineering and migration.
• Leads the managers and teams that write complex ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing.
• Develop frameworks, standards & reference material for architecture and associated products.
• Designs data marts and data models to support Data Science and other internal customers.
• Mentor to junior team members to provide technical advice.
• Applies knowledge of health care data systems and products to consult and advise on additional efforts across multiple domains spanning broader enterprise.
• Collaborates with data science team to transform data and integrate algorithms and models into highly available, production systems.
• Uses in-depth experience designing & optimizing queries to build scalable, modular, and efficient data pipelines.
• Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards
• Experiments with available tools and advises on new tools to determine optimal solutions given the requirements dictated by the model/use case.

An Equal Opportunity Employer, including disability/veterans

About Walgreens Boots Alliance

Walgreens Boots Alliance (Nasdaq: WBA) is a global leader in retail pharmacy, impacting millions of lives every day through dispensing medicines, and providing accessible, high-quality care. With more than 170 years of trusted healthcare heritage and innovation in community pharmacy, the company is meeting customers’ and patients’ needs through its convenient retail locations, digital platforms and health and beauty products.

Including equity method investments, WBA has a presence in more than 25 countries, employs more than 450,000 people and has more than 21,000 stores.

WBA’s purpose is to help people across the world lead healthier and happier lives. The company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. WBA is a participant of the United Nations Global Compact and adheres to its principles-based approach to responsible business.

WBA is included in FORTUNE’s 2021 list of the World’s Most Admired Companies*. This is the 28th consecutive year that WBA or its predecessor company, Walgreen Co., has been named to the list.

Basic Qualifications

• Bachelor’s Degree and at least 6 years of experience in information technology or a related field OR High School/GED and at least 9 years of experience in information technology or a related field
• At least 5 years of program management experience in advanced analytics or business intelligence and/or technology.
• Experience partnering with security to ensure platform is secured and regulatory compliant.
• Experience with big data/Hadoop technologies.
• Experience with cloud architecture and/or engineering, with at least one major platform (GCP (preferred), AWS, Azure).
• Experience implementing enterprise-wide data transformation and processing solutions.
• Expertise in Java, Python, Hive, Spark, Kafka, Pig, MySQL and/or NoSQL or similar.
• At least 2 years of experience contributing to financial decisions in the workplace.
• At least 3 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's degree in IT, IS, Mathematics.
• Master's degree OR MBA.
• Experience leading engineering teams, in a hands-on fashion.
• Experience identifying operational issues and recommending and implementing strategies to resolve problems.
• Experience with cloud architecture and/or engineering, with at least one major platform GCP