DBU - Data Architect

We are looking for a talented DBU – Data Architect to join our team remotely, specializing in Systems/Information Technology for our Cummins’ business in Indianapolis, IN.  

In this role, you will make an impact in the following ways:  

Automating Data Ingestion and Transformation: By designing and automating the deployment of distributed systems, you’ll streamline the process of ingesting and transforming data from various sources, ensuring efficiency and reliability. 

Ensuring Data Quality and Integrity: Implementing frameworks to continuously monitor and troubleshoot data quality and integrity issues will help maintain high standards and trust in the data. 

Implementing Data Governance: Establishing processes for managing metadata, access, and data retention will ensure compliance and proper data management for both internal and external users. 

Building Reliable Data Pipelines: Designing and guiding the construction of scalable, efficient, and quality data pipelines with robust monitoring and alert mechanisms will support seamless data integration and processing. 

Optimizing Database Performance: Creating physical data models and optimizing database performance through efficient indexing and table relationships will enhance data retrieval and storage efficiency. 

Developing Large-Scale Data Solutions: Designing, developing, and operating large-scale data storage and processing solutions using various distributed and cloud-based platforms will support the organization’s data needs. 

Automating Data Preparation Tasks: Using innovative tools and techniques to automate common, repeatable, and tedious data preparation tasks will minimize manual errors and improve productivity. 

Mentoring and Agile Development: Coaching less experienced team members and using agile development methodologies like DevOps, Scrum, and Kanban will ensure the success of critical analytics initiatives and foster a collaborative team environment. 

To be successful in this role you will need the following:  

System Requirements Engineering and Data Quality: Use appropriate methods to translate stakeholder needs into verifiable requirements and ensure data quality by identifying and correcting flaws that support effective information governance. 

Effective Communication and Collaboration: Develop and deliver clear communications tailored to different audiences and build partnerships to work collaboratively towards shared objectives. 

Customer Focus and Decision Quality: Build strong customer relationships and deliver customer-centric solutions while making good and timely decisions to keep the organization moving forward. 

Programming and Problem Solving: Create, write, and test computer code and scripts using industry standards and tools. Solve problems systematically, leveraging industry methodologies to implement robust, data-based solutions and prevent recurrence. 

Education/Experience: 

College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. 

Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes: 

Familiarity analyzing complex business systems, industry requirements, and/or data regulations 

Background in processing and managing large data sets 

Design and development for a Big Data platform using open source and third-party tools 

SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework 

SQL query language 

Clustered compute cloud-based implementation experience 

Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources 

Experience in building analytical solutions 

Intermediate experiences in the following are preferred: 

Experience with IoT technology and  in Agile software development 

 

Additional Details: 

Work closely with business Product Owner to unde