Senior Data Platform Architect

Mercedes-Benz Group; Atlanta (GA); On-site; USD 150,000 - 210,000; Full time

Job summary

Mercedes-Benz USA is seeking a Principal Data Engineer to lead architectural direction for enterprise data platforms, delivering scalable data products that enable analytics, ML, AI, and decision support across the organization. You will own cloud-native data architectures and guide cross-functional teams.

In this role you will design end-to-end data pipelines across lakehouse and data warehouse layers, mentor engineers, and champion governance, security, and reliability while operating in a

Qualifications

• 8+ years of progressive experience in data engineering, software engineering, platform engineering, ML engineering, or related technical disciplines.
• Demonstrated experience designing, building, and operating enterprise-scale data platforms, data products, or shared engineering capabilities.
• Proven ability to define ambiguous problems, align stakeholders, make technical trade-offs, and deliver outcomes across teams.
• Strong communication, collaboration, stakeholder management, and technical leadership skills.
• Self-starter with strong ownership mindset, sound judgment, and the ability to mentor engineers and influence engineering direction.

Responsibilities

• Define enterprise data engineering architecture, design patterns, standards, and best practices across data platforms and products.
• Create reusable engineering frameworks, templates, automation standards, and playbooks that accelerate delivery and improve consistency across teams.
• Influence technology choices for data platforms, cloud-native services, distributed processing, orchestration, CI/CD, monitoring, and reliability engineering.
• Evaluate emerging data engineering and platform technologies that improve scalability, performance, security, cost efficiency, and developer productivity.
• Design and deliver high-performance, scalable data platforms and data products supporting analytics, reporting, ML/AI, and enterprise decision-making use cases.
• Build and modernize end-to-end data pipelines across data lake, warehouse, lakehouse, data mart, and semantic consumption layers.
• Enable data engineers, analysts, data scientists, AI engineers, and business teams through reliable, governed, and reusable data services.
• Support platform capabilities for batch, streaming, event-driven, and API-based data integration patterns.
• Identify systemic gaps in data quality, platform reliability, observability, performance, cost, resiliency, and operational readiness, and drive solutions end-to-end.
• Establish best practices for production operations, monitoring, logging, incident response, runbooks, platform support, and continuous improvement.
• Ensure platforms and data products comply with enterprise standards for security, governance, data quality, privacy, and responsible data use.
• Drive automation through metadata management, reusable components, and repeatable engineering practices to reduce manual effort and operational risk.
• Partner with architects, infrastructure, security, analytics, AI/ML, product, and business stakeholders to translate complex business needs into scalable technical solutions.
• Operate in high ambiguity by defining problem statements, success metrics, technical options, trade-offs, and implementation approaches.
• Provide technical mentorship and guidance to engineers, raising data engineering maturity and strengthening engineering excellence across the organization.
• Lead cross-functional technical alignment and influence decisions without relying on formal reporting authority.

Skills

Python

SQL

PySpark

Scala

Azure

Azure Databricks

Delta Lake

CI/CD

Docker

Kubernetes

IaC

Observability

Data governance

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field

Tools

Azure

Azure Databricks

Delta Lake

CI/CD pipelines

Docker

Kubernetes

Terraform / IaC

Job description

Mercedes-Benz USA is seeking a Principal Data Engineer to lead architectural direction for enterprise data platforms, delivering scalable data products that enable analytics, ML, AI, and decision support across the organization. You will own cloud-native data architectures and guide cross-functional teams.

In this role you will design end-to-end data pipelines across lakehouse and data warehouse layers, mentor engineers, and champion governance, security, and reliability while operating in a