Principal Digital Architect

Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering, or a related field
8 years of experience in data architecture, data engineering or related occupation
8 years of experience in data management (data design, data quality, metadata, governance, etc.)
5 years of experience leading data management or software engineering projects with real time or eventing
Designing and implementing end-to-end automated data processing ETL/ELT pipelines using tools and technologies such as: Hadoop Technologies, AWS EMR, AWS Glue, python, etc
Data architecture for enterprise scale systems in public cloud in AWS, Azure and hybrid ecosystems using: data lakes, big data transformations, data hub, data fabric, cloud data processing, relational SQL and NoSQL data modelling
Data modelling requirements for structured and non-structured data using various database management technologies such as: AWS RDS (MySQL, PostgreSQL, Aurora), AWS DynamoDB, and NoSQL databases
3 years of experience using cloud architecture services such as: Amazon Web Services
5 years of experience performing data management for relational databases such as: SQL Server, PostgreSQL, Aurora and big data databases such as NoSQL
5 years of experience with: enterprise data warehousing and business intelligence (BI) tools and web and application server hosting
5 years of experience with DevOps technologies such as: Jenkins and deployment w/ Flyway
5 years of development experience in Java or Python

Perform overall data architecture, solution design, data quality, metadata management, or data governance
Acts as team lead by providing technical leadership, guidance and assistance to other team members across the organization
Take the lead role in complex projects spanning across multiple system components
Work directly on complex problems and provide solutions aligned with the overall objectives of Cat Digital
Understand and evaluate business requirements that impact the data of 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 Data management strategy and define continuous improvement goals of data quality, governance and processes
Document data models for domains to be deployed include a logical data model, candidate source lists, and canonical formats
Provide guidance and expertise on identifying source systems, developing data object pipeline specifications, metadata policies, as well as alignment of data governance efforts
Accountable to design robust, scalable databases and data solutions supporting applications, analytics, and business intelligence

No preferred qualifications provided.