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Senior Data Architect

2 months ago

Peoria, Illinois, United States Caterpillar Full time
About the Role

Career Area: Business Technologies, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Caterpillar Inc. seeks a Senior Data Specialist at its facility located at a global hub.

**Key Responsibilities:**

  • Perform all necessary data-related tasks, including data design, data quality, metadata management, data governance, or data architecture.
  • Work directly on complex problems and provide solutions aligned with overall objectives of Cat Digital.
  • Understand and evaluate business requirements that impact the Caterpillar enterprise, dealership partners, and other internal and external customers.
  • Liaise with data creators to support project planning, training, guidance on standards, and the efficient creation/maintenance of high-quality data.
  • Contribute to policies, procedures, and standards as well as technical requirements.
  • Create the data management strategy and define continuous improvement goals of data quality, governance, and processes.
  • Lead communication across various lines of businesses and technology partners to constantly monitor, collect, review, and roadmap business data requirements, and related technology solutions.
  • Ensure compliance with the latest data standards supported by the company, and brand, legal, information security (data security and privacy compliance).
  • Maintain knowledge of functional technology of the data management systems as they change with upgrades and new releases.
  • Maintain existing data quality scorecard measurements, executing of scorecards, resolving exceptions with data owners and source systems.
  • Accountable to design robust, scalable database and data extraction, transformation and loading (ETL) solutions.
  • Document data models for domains to be deployed including a logical data model, candidate source lists, and canonical formats.
  • Develop data ingestion store specifications identifying source systems and the tables and fields to ingest.
  • Develop data object pipeline specifications including detailed field level mapping, business rules, data quality rules, etc.
  • Create, update, and enhance metadata policies, processes, and catalogues.
  • Drive alignment and coordination of data governance efforts.

**Requirements:**

  • Bachelor's degree, or foreign equivalent, in Computer Engineering, Mechanical Engineering, or a related field.
  • Five (5) years of experience as a Software Engineer, Data Engineer, or related occupation in the data management field such as data design, data quality, metadata, governance, or related field.
  • Experience with end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, and big data analytics.
  • Creating conceptual and logical data models.
  • Metadata managers such as Erwin's Mapping Manager.
  • Data profiling tools such as Alteryx.
  • Extract, Transformation, Load (ETL) development skills.
  • Data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar).
  • XML and JSON file format knowledge.
  • Software development experience with object-oriented/ object function scripting languages: Python, Java, JavaScript, C++, or Scala.

**Work Environment:**

100% Telecommuting allowed, but in-office days requested ad hoc.