Cloud Analytics Architect: Data Pipelines & Governance

Cengage Group; Albuquerque (NM); 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 delivery of scalable, cloud‑based analytics platforms in Albuquerque, NM. You will own end‑to‑end data pipelines, models, and governance to enable data‑driven decisions across the enterprise.

The role requires 10+ years in data architecture/engineering, deep hands‑on skills with IICS and Snowflake, and the ability to collaborate with cross‑functional teams to modernize data platforms.

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 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.

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.

Skills

Data architecture

Data engineering

Enterprise data modeling

SQL

Python

ETL/ELT

Cloud data platforms

Data governance

Communication

Education

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

Tools

Informatica Intelligent Cloud Services (IICS)

Snowflake

S/4HANA

Salesforce

Tableau/Power BI

APIs

Job description

Cengage Group is seeking an experienced Analytics/Data Architect to lead the design and delivery of scalable, cloud‑based analytics platforms in Albuquerque, NM. You will own end‑to‑end data pipelines, models, and governance to enable data‑driven decisions across the enterprise.

The role requires 10+ years in data architecture/engineering, deep hands‑on skills with IICS and Snowflake, and the ability to collaborate with cross‑functional teams to modernize data platforms.