Cloud Analytics Architect: Data Pipelines & Governance

Cengage; Kentucky; Hybrid; USD 90,000 - 142,000; Full time

Job summary

Cengage is seeking a senior data architect to build world-class analytics solutions and modern cloud-based data pipelines. You will maintain enterprise data pipelines using Informatica IICS and Snowflake, while ensuring data quality, governance, and scalable data models for analytics and operations.

The role requires a strong background in data architecture, SQL, Python, and experience with data warehousing concepts.

Qualifications

• Minimum 10 years of experience in data architecture or enterprise data platform development.
• Experience as Analytics/Data Architect or similar role with enterprise pipelines.
• Strong Python, SQL, and data warehousing skills.

Responsibilities

• Build and implement analytics solutions to solve complex business challenges.
• Architect and implement cloud-based analytics solutions to improve outcomes.
• Maintain data pipelines built on IICS and Snowflake.
• Design, build, and implement scalable data pipelines for ingestion, transformation, and delivery.
• Analyze data flows and dependencies for future enhancements and bug fixes.
• Develop scalable data models to support analytics and operations.
• Ensure data quality, governance, and lineage across platforms.
• Document data sourcing, transformations, and integrations for governance.
• Improve platform reliability, performance, and efficiency.
• Collaborate with multi-functional teams for modernization and stability.

Skills

Data architecture

Analytics architecture

SQL

Python programming

Data modeling

Data governance

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Informatica Intelligent Cloud Services (IICS)

Snowflake

Tableau

Power BI

SQL

Job description

Cengage is seeking a senior data architect to build world-class analytics solutions and modern cloud-based data pipelines. You will maintain enterprise data pipelines using Informatica IICS and Snowflake, while ensuring data quality, governance, and scalable data models for analytics and operations.

The role requires a strong background in data architecture, SQL, Python, and experience with data warehousing concepts.