Senior Data Architect

Caterpillar Inc.•Peoria, IL

1d•$112,710 - $183,140•Onsite

About The Position

Join Cat Digital’s Data Architecture & Solutioning team to design and evolve enterprise-scale data architecture that powers Caterpillar’s digital ecosystem. Lead end-to-end solution architectures on Cat Digital’s data platform, drive trusted and interoperable data products with a focus on reusable data objects, and partner with engineering and product teams to accelerate time-to-data-value for consumers enabling applications, analytics, and marketing. The position is based onsite in Chicago, Illinois, or Peoria, Illinois, five days a week, and requires up to 5% travel. Relocation assistance and visa sponsorship are not available. Any offer is conditioned upon successful completion of a drug screen.

Requirements

Extensive knowledge of data architecture processes, techniques, and influencing factors, including the ability to design blueprints for integrating data resources to support business processes and functions.
Extensive knowledge of analytical techniques and tools, with the ability to identify root causes of organizational problems and develop alternative solutions.
Extensive experience with effective communication concepts, tools, and techniques, including accurately conveying and interpreting ideas, information, and needs.
Extensive knowledge of requirements-analysis tools, methods, and techniques, including eliciting, analyzing, and documenting functional and non-functional business requirements.
Knowledge of target architecture and the ability to develop IT blueprints and roadmaps aligned with business strategies and objectives.

Nice To Haves

Extensive data modeling experience.
Experience designing or architecting cloud-based solutions using AWS or Azure.
ETL knowledge.
Snowflake knowledge.
Semantic modeling experience.

Responsibilities

Develop detailed data architecture deliverables to solve business problems.
Design data solutions, including system-to-system data flows and conceptual and logical data models.
Lead the evaluation and deployment of new solutions that add to or enhance existing data product capabilities.
Address business requirements for applications and collaborate with cross-functional teams to deliver digital and data solutions that meet business requirements.