Analytics Architect

at Cengage Group in Boise, Idaho, United States

We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

Cengages portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life.

Our culture values inclusion, engagement, and discovery

Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see .

What youll do here:

+ Build and implement world-class analytics solutions to solve complex business challenges.

+ Architect and implement modern cloud-based analytics solutions to improve business outcomes.

+ Learn, document, support, and maintain existing enterprise data pipelines and integration frameworks built on Informatica Intelligent Cloud Services ( IICS ) and Snowflake.

+ Design, build, and implement new scalable data pipelines for ingestion, transformation, integration, and delivery of structured and unstructured data.

+ Analyze existing data flows, transformations, and dependencies to support future enhancements, operational improvements, and production bug fixes.

+ Build and maintain scalable data models supporting downstream analytics and business operations.

+ Ensure data quality, integrity, governance, and lineage across enterprise data platforms.

+ Support data governance initiatives by documenting how datasets are sourced, transformed, integrated, and consumed.

+ Supervise and improve platform reliability, operational efficiency, and pipeline performance.

+ Develop reusable frameworks, standards, and guidelines for enterprise data engineering and architecture.

+ Collaborate with multi-functional teams to support ongoing platform modernization and operational stabilit