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Senior Data Platform Engineer Jobs in Raleigh, NC

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

... platforms to drive data-informed decision-making across the organization. This role sits at the ... Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

... platforms to drive data-informed decision-making across the organization. This role sits at the ... Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

... platforms to drive data-informed decision-making across the organization. This role sits at the ... Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ...

Truist

ServiceNow Senior Platform Engineer

Raleigh, NC · On-site

English (Required) Work Shift: 1st shift (United States of America) Please review the following The ServiceNow Senior Platform Engineer serves as the technical steward of the ServiceNow platform as ...

Barry Wehmiller Group

Platform Engineer

Raleigh, NC

When you join Design Group as a Sr. Software Engineer, you are joining a team that will challenge ... Familiarity with cloud platforms (AWS EKS, Azure AKS, Google GKE) or on-prem Kubernetes (e.g ...

Apex Systems

CMDB Platform Engineer

Raleigh, NC

Partner with architecture and data roles to operationalize policy-as-code style guardrails within ... platform engineering standards. Reduce brittle logic, hard-coded dependencies, and configuration ...

New

Nvidia

Senior ML Platform Engineer

Durham, NC · On-site

$101K - $138K/yr

Solid understanding of ML workflows and lifecycle-from data preprocessing to deployment ... Passion for building developer-centric platforms with great UX and strong operational reliability.

iQuest Solutions Corp

Senior Software Developer

Raleigh, NC · Hybrid

$53 - $70/hr

Raleigh, NC. (LOCAL) Seeking a Senior Developer to design, build, and optimize cloud infrastructure and data platform integrations using Java-based microservices and distributed systems. Key ...

ICONMA

CMDB Platform Engineer

Raleigh, NC · On-site

... data, while translating Service-Aware Operating Model requirements into scalable workflows and ... platform engineering standards. • Reduce brittle logic, hard-coded dependencies, and ...

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All JobsSenior Data Platform Engineer JobsSenior Data Platform Engineer Jobs in Raleigh, NC

Senior Data Platform Engineer information

See Raleigh, NC salary details

$78.7K

$122.8K

$170.1K

How much do senior data platform engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for senior data platform engineer in Raleigh, NC is $122,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $140,000.00 per year, depending on experience, location, and employer.

How does a Senior Data Platform Engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

What are the key skills and qualifications needed to thrive as a Senior Data Platform Engineer, and why are they important?

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

What does a Senior Data Platform Engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

What is the difference between Senior Data Platform Engineer vs Data Engineer?

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Raleigh, NC? The most popular types of Data Platform Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Data Platform Engineer jobs? Cities near Raleigh, NC with the most Senior Data Platform Engineer job openings:
Senior Data Platform Engineer jobs near you

Senior Kubernetes Platform Engineer - AI/ML Infrastructure

Webex Events (formerly Socio)

Durham, NC

$98K - $133K/yr

Other

Posted 26 days ago

Job description

Senior Kubernetes Platform Engineer - AI/ML Infrastructure

Join our Platform Engineering team to design, build, and operate large-scale, on-prem Kubernetes infrastructure powering next-generation AI/ML platforms, including GPU-enabled environments for both traditional ML and state-of-the-art LLM workloads.

You will be pivotal in defining and evolving a highly scalable Kubernetes platform that serves as the foundation for AI/ML workloads. This role combines deep Kubernetes platform engineering with AI/ML infrastructure enablement, ensuring performance, reliability, and scalability across distributed systems.

You will lead technical direction across Kubernetes control plane operations, cluster lifecycle management, and platform extensibility, while working closely with data scientists, ML engineers, and infrastructure teams to support production AI workloads at scale.

This is a senior individual contributor role focused on platform ownership, engineering excellence, and driving reliability and automation across complex distributed environments.

Your Impact / Core Responsibilities
  • Architect, build, and operate large-scale on-prem Kubernetes platforms (OpenShift/Anthos), including control plane and etcd lifecycle management
  • Define and evolve scalable, multi-tenant platform architecture supporting AI/ML and GPU-based workloads
  • Enable and optimize ML workloads including training, inference, and LLM deployment pipelines on Kubernetes
  • Build platform extensions using Kubernetes controllers, operators, CRDs, and Golang-based services
  • Implement Infrastructure as Code and automation to improve scalability, consistency, and operational efficiency
  • Drive AIOps capabilities using telemetry, automation, anomaly detection, and self-healing systems for platform reliability
  • Improve observability (metrics, logs, traces) and optimize resource utilization, scheduling, and cluster performance
  • Partner with ML engineers and data scientists to operationalize ML workflows and ensure platform readiness for AI workloads
  • Participate in on-call rotations, owning incident response, reliability, and continuous operational improvement
  • Mentor engineers and contribute to defining platform engineering standards and best practices
Minimum Qualifications
  • 8+ years of software engineering experience
  • 4+ years of hands-on Kubernetes production experience with control plane ownership
  • Strong experience operating on-prem or self-managed Kubernetes environments
  • Deep expertise in etcd management (backup, restore, recovery, upgrades)
  • Strong proficiency in Go with experience building Kubernetes controllers, operators, CRDs, and webhooks
  • Deep understanding of Kubernetes internals (API server, scheduler, controller loops, reconciliation)
  • Experience supporting AI/ML or GPU-based workloads on Kubernetes platforms
  • Proven experience operating and debugging large-scale distributed systems
  • Experience participating in on-call rotations and production incident management
Preferred Qualifications
  • Experience with bare-metal or enterprise on-prem infrastructure at scale
  • Exposure to AI/ML platforms and tooling (e.g., Kubeflow, MLflow, distributed training systems)
  • Experience building internal developer platforms or platform-as-a-service (PaaS) systems
  • Familiarity with AIOps concepts such as automated remediation and predictive operations
  • Experience applying data-driven or ML-based techniques for system reliability or capacity planning
  • Contributions to Kubernetes, CNCF, or other open-source ecosystems

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