Lead Data Engineer

Lead Data Engineer

Job Description

You were made to do this work: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results.

You want to be part of a performance culture dedicated to building technology for a purpose that matters.

You want to work in an environment that promotes sustainability, inclusion, wellbeing, and career development.

In this role, you’ll help us deliver better care for billions of people around the world.  It starts with YOU. 

In this role, you will:


* Design and operationalize enterprise data solutions on Cloud Platforms for the Enterprise Markets Segment: Develop and implement scalable and secure data solutions on cloud platforms, ensuring they meet enterprise standards and requirements.

This includes designing data architecture, selecting appropriate cloud services, and optimizing performance for data processing and storage. 



* Integrate Azure services, Snowflake technology, and other third-party data technologies: Seamlessly integrate various data technologies, including Azure services, Snowflake, and other third-party tools, to create a cohesive data ecosystem.

This involves configuring data connectors, ensuring data flow consistency, and managing dependencies between different systems. 



* Build and maintain high-quality data pipelines for analytic solutions: Develop robust data pipelines that automate the extraction, transformation, and loading (ETL) of data from various sources into a centralized data warehouse or lake.

Ensure these pipelines are efficient, reliable, and capable of handling large volumes of data.  



* Collaborate with a multidisciplinary agile team to generate insights from connected data Work closely with data scientists, analysts, and other team members in an agile environment to translate business requirements into technical solutions.

Participate in sprint planning, stand-ups, and retrospectives to ensure timely delivery of data products. 



* Manage and create data inventories for analytics and APIs to be consumed: Develop and maintain comprehensive data inventories that catalog available data assets and their metadata.

Ensure these inventories are accessible and usable by various stakeholders, including through APIs that facilitate data consumption. 



* Design data integrations with internal and external products: Architect and implement data integration solutions that enable seamless data exchange between internal systems and external partners or products.

This includes ensuring data integrity, security, and compliance with relevant standards. 


* Willingness to be flexible: Enterprise Markets is comprised of over 50 markets.

Much of its value will come from our ability to quickly pivot and opportunities present themselves.

About Us

Huggies®.

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Scott®.

Kotex®.

Poise®.

Depend®.

Kimberly-Clark Professional®.

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