Cummins·19 hours ago
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Data Engineer Principal
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What you'll do
- Lead the strategy, architecture, and evolution of enterprise data platforms that enable scalable analytics, AI, and business intelligence solutions.
- Partner with business leaders, product teams, and technical stakeholders to translate complex requirements into high-value data solutions.
- Design and optimize data lake, lakehouse, data warehouse, and cloud-based architectures that improve data accessibility, quality, and performance.
- Deliver resilient and reusable data pipelines that accelerate decision-making and reduce time-to-insight across the organization.
- Champion data governance, security, compliance, and quality standards to ensure trusted and reliable enterprise data assets.
- Drive continuous improvement initiatives that enhance scalability, operational efficiency, cost optimization, and platform performance.
- Provide technical leadership, mentoring, and architectural guidance to data engineering teams while fostering engineering excellence.
- Enable executive and business-critical decision making through the integration and delivery of data from diverse enterprise systems.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Job Summary:
We are looking for a talented Data Engineering Manager to join our Cummins Inc. team in Columbus, Indiana.
In this role, you will make an impact in the following ways:
- Lead the strategy, architecture, and evolution of enterprise data platforms that enable scalable analytics, AI, and business intelligence solutions.
- Partner with business leaders, product teams, and technical stakeholders to translate complex requirements into high-value data solutions.
- Design and optimize data lake, lakehouse, data warehouse, and cloud-based architectures that improve data accessibility, quality, and performance.
- Deliver resilient and reusable data pipelines that accelerate decision-making and reduce time-to-insight across the organization.
- Champion data governance, security, compliance, and quality standards to ensure trusted and reliable enterprise data assets.
- Drive continuous improvement initiatives that enhance scalability, operational efficiency, cost optimization, and platform performance.
- Provide technical leadership, mentoring, and architectural guidance to data engineering teams while fostering engineering excellence.
- Enable executive and business-critical decision making through the integration and delivery of data from diverse enterprise systems.
Company
Cummins
Columbus, United States of America
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