Principal Data Engineer — Enterprise Data Platform Leader

Daimler AG; Atlanta (GA); On-site; USD 140,000 - 200,000; Full time

Job summary

Mercedes-Benz USA is seeking a Principal Data Engineer to lead the design and delivery of enterprise data platforms and products for analytics, reporting, ML, and AI initiatives. You will set architectural direction, drive reusable patterns, and collaborate across data, analytics, product, and security teams to enable scalable data solutions.

The role requires deep expertise in Python, SQL, PySpark/Scala, and cloud-native data architectures on Azure, with strong leadership, mentoring, and

Qualifications

• 8+ years of progressive experience in data engineering or related fields.
• Experience designing, building, and operating enterprise-scale data platforms.

Responsibilities

• Define and evolve enterprise data engineering architecture, standards, and best practices across data platforms and products.
• Design and deliver high-performance, scalable data platforms and data products for analytics, ML, and enterprise decisions.
• Lead cross-functional collaboration with architects, security, analytics, product, and business stakeholders to translate complex needs into scalable solutions.
• Mentor engineers and drive engineering excellence across teams.

Skills

Python

SQL

PySpark/Scala

Azure

Azure Databricks

Delta Lake

CI/CD

Docker

Kubernetes

IaC

Observability

Data Governance

Education

Bachelor's degree in CS/Engineering/Data Science or related field

Tools

Azure Databricks

Delta Lake

Power BI/Tableau (BI tools)

Job description

Mercedes-Benz USA is seeking a Principal Data Engineer to lead the design and delivery of enterprise data platforms and products for analytics, reporting, ML, and AI initiatives. You will set architectural direction, drive reusable patterns, and collaborate across data, analytics, product, and security teams to enable scalable data solutions.

The role requires deep expertise in Python, SQL, PySpark/Scala, and cloud-native data architectures on Azure, with strong leadership, mentoring, and