Sr Analytics Architect

Cengage Group; Atlanta (GA); On-site; USD 77,100 - 123,300; Full time

Job summary

Cengage Group is seeking an experienced Analytics Data Architect to lead the design and implementation of world-class analytics solutions. You will architect cloud-based data platforms, maintain enterprise data pipelines using Informatica IICS and Snowflake, and ensure data quality and governance across the organization.

The role requires deep expertise in data modeling, SQL, Python, and experience with Tableau/Power BI.

Qualifications

• 10+ years in data architecture, data engineering, or enterprise data platform development.
• Experience as Analytics/Data Architect or similar role.
• Hands-on with IICS and Snowflake.
• Experience building and supporting enterprise data pipelines and cloud-based ETL/ELT frameworks.
• Strong data modeling, SQL, and data warehousing skills.
• Python for automation, scripting, and data tasks.
• Familiarity with Tableau/Power BI.
• Experience integrating data from enterprise platforms like S/4HANA and Salesforce.
• Bachelor's degree or equivalent experience.

Responsibilities

• Build and implement analytics solutions to solve business challenges.
• Architect and implement cloud-based analytics solutions to improve outcomes.
• Maintain data pipelines and integration frameworks built on IICS and Snowflake.
• Design, build, and deploy scalable data pipelines for ingestion, transformation, and delivery of data.
• Analyze data flows and dependencies to support enhancements and bug fixes.
• Develop scalable data models for analytics and operations.
• Ensure data quality, governance, and lineage across platforms.
• Document data sources, transformations, and data consumption for governance.
• Improve platform reliability and pipeline performance.
• Develop reusable frameworks, standards, and guidelines for data engineering and architecture.
• Collaborate with cross-functional teams to modernize platforms.

Skills

Data architecture

Data engineering

SQL

Python programming

Data modeling

Analytics platforms

Cloud data architecture

ETL/ELT

Education

Bachelor's degree in Computer Science or related field

Tools

Informatica Intelligent Cloud Services (IICS)

Snowflake

Tableau

Power BI

S/4HANA

Salesforce

Job description

Responsibilities

• 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.

Qualifications

• 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

Base pay range: $77,100.00 - $123,300.00 USD.

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Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities throughout the job application process. If you are an applicant with a disability and require reasonable accommodation, please contact [e-mail].