Data & Analytics Platform Engineer

Data & Analytics Platform 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:


* This position is focused on the implementation, administration, and integration of platforms used in the data and analytics space (Snowflake, Power BI, Azure, etc.).

While development and coding experience (SQL, Python, PowerShell, etc.) is required this is not a data engineering or pure developer role.  You will be enabling the Platform and features that the development community will utilize to create BI, AI/ML, and GenAI solutions.

 Prior platform implementation, expansion, and improvement experience required.


* Architect, Implement, and Integrate new Data & Analytics platforms and architectures into the Kimberly-Clark’s technical and process landscape, and facilitate their early adoption with the development and business community.


* Research new platform features and functionality to build Kimberly-Clark’s Data & Analytics Platform Roadmap and lead strategic decision-making.


* Influence our vendor partners driving their continuous improvement and enhanced capabilities.


* Innovate on First-of-a-Kind projects and Proof-of-Concepts to drive business value and technology investments.


* Benchmark with peer companies, learning from each other’s analytics journeys and technology challenges.


* Govern the data & analytics landscape with oversight on performance and best practices.


* Provide “last level” support for all platforms as well as analytics and AI/ML products.


* Advocate analytics capabilities that already exist within KC to reduce TCO and one-off tools.


* Stay current with the latest trends and technologies in Data Storage, Data Processing, Data Visualization, AI/ML, and Generative AI


* Design and implement monitoring and alerting solutions to ensure that Date, Analytics, and AI workloads are performing optimally and meeting SLAs.


* Automate the deployment and management of Date, Analytics, and AI resources using tools such as Terraform and Azure DevOps


* Collaborate with security teams to ensure that the entire Data & Analytics landscape is compliant with security policies and regulations.


* Providing guidance and leadership to more junior engineers on best practices for building and deploying Data & Analytics solutions


* Effectively communicating with peers and leaders to ensure that Data & Analytics Platforms are meeting business requirements and aligning with the overall te...