Principal Data Platform Architect

Socket.dev; Columbus (IN); On-site; USD 150,000 - 210,000; Full time

Job summary

Cummins Inc. in Columbus, Indiana is seeking a talented Data Engineering Manager to lead the strategy and evolution of enterprise data platforms. You will partner with business leaders and engineering teams to translate complex requirements into scalable data solutions.

Responsibilities include designing data lakehouse architectures, building resilient data pipelines, and championing data governance and security standards across the organization. A strong leadership background is required.

Qualifications

• Requires college degree in a technical discipline or equivalent experience.
• Deep expertise in modern data engineering practices and cloud-native architectures.
• Strong leadership and stakeholder management skills for cross-functional teams.
• Advanced knowledge of data governance, security, and automation practices.

Responsibilities

• Lead strategy, architecture, and evolution of enterprise data platforms.
• Translate complex requirements into high-value data solutions with stakeholders.
• Design and optimize data lake, lakehouse, and data warehouse architectures.
• Deliver reusable data pipelines to accelerate decision-making across the organization.
• Mentor data engineering teams and provide architectural guidance.
• Enable executive decision-making through integrated data from enterprise systems.

Skills

SQL

Python / PySpark

Data modeling

Cloud data platforms

Leadership

Stakeholder mgmt

Data governance

ETL / pipelines

Architecture

Education

Bachelor's degree in a technical field

Tools

Databricks

Snowflake

Azure data services

Job description

Cummins Inc. in Columbus, Indiana is seeking a talented Data Engineering Manager to lead the strategy and evolution of enterprise data platforms. You will partner with business leaders and engineering teams to translate complex requirements into scalable data solutions.

Responsibilities include designing data lakehouse architectures, building resilient data pipelines, and championing data governance and security standards across the organization. A strong leadership background is required.