DBU - Data Architect

DESCRIPTION

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.

RESPONSIBILITIES

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.

QUALIFICATIONS

Education/Experience:

College, university, or equi