Sr Analytics Architect

Cengage Group; San Juan (PR); On-site; USD 77,100 - 123,300; Full time

Job summary

Cengage Group is seeking a senior data architect to lead the design and delivery of scalable, cloud-first analytics platforms. You will own data modeling, pipelines, and governance across enterprise systems.

You will partner with IT and business teams to modernize data infrastructure, ensure data quality, and enable actionable insights using IICS, Snowflake, Tableau, and Power BI.

Qualifications

• 10+ years of experience in data architecture, data engineering, or enterprise data platform development.
• Demonstrable experience as Analytics/Data Architect or similar role.
• Hands-on with Informatica IICS and Snowflake.
• Experience building and supporting enterprise data pipelines and cloud ETL/ELT frameworks.
• Strong cloud data architecture and data warehousing knowledge.
• Proficiency in data modeling, SQL, and data warehousing.

Responsibilities

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

Skills

Data architecture

Data modeling

SQL

Python

Tableau

Power BI

Cloud architecture

Data warehousing

Education

Bachelor's degree in Computer Science, Information Technology, or a related field

Tools

Informatica Intelligent Cloud Services (IICS)

Snowflake

Tableau

Power BI

Salesforce integration

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 committed to working with broad talent pools to attract and hire strong and most qualified individuals. 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 throughout the job application process. If you are an applicant with a disability and require reasonable accommodation, please contact [e-mail].