Analytics Architect

What you'll 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 stability. Skills you will need here: Minimum 10 years of experience in data architecture, data engineering, or enterprise data platform development. Demonstrable experience working as an Analytics / Data Architect or in a similar role. Strong hands‑on expertise with Informatica Intelligent Cloud Services (IICS) and Snowflake. Experience building, improving and supporting enterprise data pipelines and cloud based ETL/ELT integration frameworks. Solid understanding of modern cloud data architecture and enterprise data warehousing concepts. Outstanding proficiency in data modeling, SQL, and data warehousing. Strong Python programming skills for automation, scripting, API integration, and data engineering tasks are required. Solid grasp of analytics and data visualization platforms (e.g., Tableau, Power BI). A track record of delivering high‑quality, data‑driven solutions with minimal oversight. Experience in integrating data from enterprise platforms like S/4HANA & Salesforce. Familiarity with cloud computing platforms and modern data architecture principles. Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience. Excellent analytical, problem‑solving, and fix capabilities. Strong verbal and written communication skills with the ability to communicate effectively with both technical and business audiences. Compensation At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. To learn more about our Total Rewards Philosophy. The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range. $77,100.00 - $123,300.00 USD Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws. Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at View email address on click.appcast.io. #J-18808-Ljbffr