Senior Data Architect - Cloud Data Platform, Onsite Chicago

Caterpillar Inc.; Chicago (IL); On-site; USD 113,000 - 183,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Paid time off

401(k) savings plans

Health Savings Account

Flexible Spending Accounts

Career development

Incentive bonus

Disability benefits

Life Insurance

Parental leave

Tuition Reimbursement

Job summary

Join Cat Digital’s Data Architecture & Solutioning team to design and evolve enterprise-scale data architecture that powers Caterpillar’s digital ecosystem.

You’ll lead end-to-end solution architectures on Cat Digital’s data platform, drive trusted interoperable data products with focus on data object reusability and partner with engineering and product teams to accelerate time-to-data-value for data consumers enabling applications, analytics, and marketing.

Qualifications

• Extensive data modeling experience.
• Experience designing/architecting cloud-based solutions (AWS or Azure).
• ETL knowledge preferred.
• Snowflake knowledge preferred.
• Semantic modeling experience preferred.

Responsibilities

• Developing detailed data architecture deliverables to solve business problems.
• Designing data solutions which include system-to-system data flows, conceptual data models, and logical data models.
• Leading the evaluation and deployment of new solutions to add or enhance existing data product capabilities.
• Participating in addressing business requirements for applications and collaborating with cross-functional teams to deliver digital and data solutions that meet business requirements.

Skills

Data Architecture

Analytical Thinking

Effective Communications

Requirements Analysis

Target Architecture

Tools

Snowflake

Job description

Join Cat Digital’s Data Architecture & Solutioning team to design and evolve enterprise-scale data architecture that powers Caterpillar’s digital ecosystem.

You’ll lead end-to-end solution architectures on Cat Digital’s data platform, drive trusted interoperable data products with focus on data object reusability and partner with engineering and product teams to accelerate time-to-data-value for data consumers enabling applications, analytics, and marketing.