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# Lead Data Architect

- **Company:** Caterpillar
- **Location:** East Peoria, IL, United States
- **Experience:** Expert
- **Salary:** $147,760.0 - $221,640.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Big Data, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Dataspaces, Data Vault Modeling, Data Warehousing, Python (Programming Language), Meta-Data Management, Software Engineering, Enterprise Software Applications, Data Classification, Data Strategy, Information Technology, Programming Languages
- **Published:** August 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3365584907&tx=JR4337FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in computer science, Information Systems, Data Engineering, Software Engineering, or related technical field (or equivalent experience)
 * 12+ years of progressive experience in data, analytics, information architecture, or enterprise technology roles.
 * 4+ years of experience leading enterprise-scale data architecture initiatives across multiple business domains.
 * Deep expertise in enterprise data architecture, data warehousing principles and data modeling (conceptual, logical, physical)
 * Proven experience defining and implementing enterprise data strategies, roadmaps, standards, and governance frameworks.
 * Experience partnering with executive leadership, business stakeholders, and technology teams to translate business strategy into data architecture solutions.

Top Candidates Will Have:

 * Knowledge of Caterpillar's Power & Energy business, including products, customers, operations, and key business processes.
 * Proficiency in at least one programming language (e.g., Python, Java, etc.)
 * Demonstrated success leading large-scale data modernization, cloud migration, and digital transformation programs.

## Description

We are seeking an experienced Lead Data Architect to define and guide the Power & Energy segment data vision, structure, and standards in close partnership with the Lead Data Engineer. This role is accountable for designing the blueprint of the data ecosystem-ensuring that data is structured, governed, and aligned to business needs-while the engineering team operationalizes and builds the solutions. The ideal candidate brings a balance of strategic thinking, data modeling expertise, and firsthand architectural guidance across modern data platforms.

What You Will Do:

Data Strategy & Target State Vision

 * Map the current-state data landscape, including systems, flows, redundancies, and gaps.
 * Define and maintain the future-state data architecture vision and roadmap aligned to business strategy.
 * Establish guiding principles for scalable, reusable, and governed data ecosystems.

Data Modeling & Architecture

 * Build and maintain conceptual data models that define core business entities and relationships.
 * Guide the development of logical and physical data models in collaboration with engineering teams.
 * Ensure consistent application of industry-standard modeling techniques (e.g., dimensional, data vault)
 * Define canonical data definitions and promote reuse across domains.

Solution Design & Engineering Partnership

 * Partner closely with the Lead Data Engineer to translate architecture into implementable solutions.
 * Provide oversight and guidance on end-to-end data solution design, from ingestion through consumption.
 * Ensure architecture decisions support performance, scalability, and extensibility.
 * Review and validate solution designs to ensure alignment with architectural standards.

Data Governance & Standards

 * Ensure the right data sources are identified and leveraged for each use case.
 * Enforce alignment with enterprise data standards, governance policies, and security requirements.
 * Promote data quality, consistency, and lineage across the data ecosystem.
 * Define standards for metadata management, data classification, and access controls.

Cross-Functional Alignment

 * Collaborate with business stakeholders, analytics teams, and IT to ensure architecture supports business capabilities.
 * Drive alignment across domains to reduce duplication and enable enterprise-wide data consistency.
 * Function as a trusted advisor on data-related decisions and trade-offs.


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