Senior Data Architect - Cloud & Data Modeling (Onsite)

Caterpillar Inc.; Peoria (AZ); On-site; USD 128,000 - 209,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Health Savings Account (HSA)

Flexible Spending Accounts (FSAs)

Career Development

Incentive bonus

Tuition Reimbursement

Parental leave

Adoption benefits

Onsite wellness programs

Job summary

Caterpillar Inc. is seeking a Data Architect within Cat Digital to design and evolve enterprise-scale data architecture powering Caterpillar’s digital ecosystem.

You will lead end-to-end solution architectures on the data platform, drive interoperable data products, and partner with engineering and product teams to accelerate time-to-data-value for data consumers enabling applications, analytics, and marketing.

Qualifications

• Deep knowledge of data architecture principles and blueprint design.
• Strong analytical thinking to identify root causes and craft solutions.
• Proven ability to communicate complex concepts clearly to technical and non-technical stakeholders.
• Experience eliciting and documenting business functionality and non-functional requirements.
• Ability to develop IT blueprints and roadmaps aligned with business goals.

Responsibilities

• Developing detailed data architecture deliverables to solve business problems.
• Designing data solutions including data flows, conceptual and logical models.
• Leading evaluation and deployment of new data product capabilities.
• Collaborating with cross-functional teams to deliver data solutions that meet business requirements.

Skills

Data Architecture

Analytical Thinking

Effective Communications

Requirements Analysis

Target Architecture

Job description

Caterpillar Inc. is seeking a Data Architect within Cat Digital to design and evolve enterprise-scale data architecture powering Caterpillar’s digital ecosystem.

You will lead end-to-end solution architectures on the data platform, drive interoperable data products, and partner with engineering and product teams to accelerate time-to-data-value for data consumers enabling applications, analytics, and marketing.