CAREER AREA:

Digital

JOB DESCRIPTION:

Caterpillar is investing in our digital future, and we’re looking for a Data Designer within the Cat Digital Helios team to help maximize the value of Caterpillar’s digital platform.  Cat Digital is focused on accelerating services and parts growth by providing digital solutions through data analytics, innovation and customer-focused solutions.  This role is a technical resource creating and maintaining logical and physical data designs as well as defining business rules for data quality.  The goal is to create extendable data objects and consumable datasets to support Cat Digital use cases. 

Job Duties:

• Competent to perform all necessary data related task which could include data design, data quality, metadata management, data governance or data architecture.  
• Acts as team lead by providing technical leadership, guidance, and assistance to other team members.
• 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.
• Liaises with data creators to support project planning, training, guidance on standards, and the efficient creation/maintenance of high-quality data
• Contributes 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.
• Creates, updates, and enhances metadata policies, processes and catalogs
• Drives alignment and coordination of data governance efforts

Employee is also responsible for performing other job duties as assigned by Caterpillar management from time to time.

Basic Requirements:

• A 4-year degree from an accredited college or university or equivalent experience
• 7 years or more of experience in data management (data design, data quality, metadata, governance, etc.)
• Demonstrated experience leading data management or software engineering projects.

Top candidates will also have:

• Understanding of information management concepts such as controlled vocabularies, authority control, data modeling, and schema design.
• Strong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, and big data analytics.
• Strong understanding of data governance, metadata management, data quality, data modeling, and data architecture concepts
• Experience creating conceptual and logical data models
• Demonstrated Data Design for Big Data, Analytics and applications
• AWS Cloud Based Technologies for Data Processing and Persistence (DynamoDB, S3, Aurora, Kinesis, SQS, SNS, Lambda, Fargate, Glue)
• Snowflake and other business intelligence experience
• Experience with metadata managers like Erwin’s Mapping Manager
• Experience with data profiling tools such as Alteryx
• Experience with data cataloging tools such as Collibra
• Extract, Transformation, Load (ETL) development skills
• Knowledge of 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++, Scala, etc 
• Experience with Object Oriented Concepts/Development/Modeling
• Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.
• Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience
• Comfortable working in a dynamic environment where digital is still evolving as a core offering

Visa sponsorship available for eligible applicants.

EEO/AA Employer.  All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.

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