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Data Platform Manager Jobs in Raleigh, NC (NOW HIRING)

DPR Construction

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet business needs while following best practices * Proactively manage data quality, error handling ...

DPR Construction

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet business needs while following best practices * Proactively manage data quality, error handling ...

Sennos

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... platform. This role focuses on building and maintaining data pipelines, implementing ... Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and ...

Deloitte

GCP Manager

Raleigh, NC · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Hudson Data LLC

Software Developer

Raleigh, NC · Hybrid

Key Responsibilities Develop Java-based microservices using Spring Boot for platform integrations. Build and manage data pipelines using Java frameworks (Spring Batch, Kafka Streams, Spark). Design ...

The Mutual Group

Lead IT Project Manager

Raleigh, NC · Hybrid

$140K - $170K/yr

You'll drive end-to-end execution for modern platforms (cloud, SaaS, digital/web) and cloud data ... Coordinate adjacent workstreams (program lens): manage cross-project dependencies, shared ...

Pendo

Director, Data & AI Platform

Raleigh, NC · Hybrid

The Data & AI Platform team builds and maintains the trusted data infrastructure, semantic layer ... At Pendo, great leaders don't just manage delivery - they operate as strategic owners, setting ...

Pendo

Director, Data & AI Platform

Raleigh, NC · On-site

The Data & AI Platform team builds and maintains the trusted data infrastructure, semantic layer ... At Pendo, great leaders don't just manage delivery - they operate as strategic owners, setting ...

BayOne Solutions

Lead Data Engineer

Raleigh, NC · Hybrid

... management. • Some understanding of CAN-SPAM and GDPR and other data privacy regulations. Preferred Qualifications • Knowledge of SAP, Salesforce and other critical platforms. Travel Requirements ...

Maxonic

Lead Data Engineer

Raleigh, NC · Hybrid

$47.50 - $50/hr

... management. • Some understanding of CAN-SPAM and GDPR and other data privacy regulations. Preferred Qualifications • Knowledge of SAP, Salesforce and other critical platforms. Travel Requirements ...

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All JobsData Platform Manager JobsData Platform Manager Jobs in Raleigh, NC

Data Platform Manager information

See Raleigh, NC salary details

$30.1K

$94.4K

$167.2K

How much do data platform manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data platform manager in Raleigh, NC is $94,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $122,000.00 per year, depending on experience, location, and employer.

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

AspectData Platform ManagerData Engineer
Primary FocusOversees data platform strategy, architecture, and team managementBuilds, develops, and maintains data pipelines and infrastructure
Required SkillsData architecture, leadership, project managementProgramming, ETL development, database management
CertificationsCloud certifications (AWS, Azure), data management certificationsSQL, cloud platform certifications, programming certifications
Work EnvironmentCollaborates with data teams, IT, and business unitsHands-on technical work in data engineering teams

The Data Platform Manager focuses on overseeing the data platform's overall strategy and managing teams, while the Data Engineer is responsible for the technical development and maintenance of data pipelines. Both roles require technical skills and certifications, but the manager role emphasizes leadership and strategic planning, whereas the engineer role emphasizes technical execution.

What are some common challenges faced by Data Platform Managers when aligning data strategy with evolving business needs?

Data Platform Managers often face the challenge of ensuring that the data infrastructure can adapt quickly to shifting business priorities and emerging technologies. Balancing the needs of various stakeholders—such as data analysts, engineers, and business leaders—while maintaining data quality, security, and scalability requires strong communication and project management skills. Additionally, keeping the platform up-to-date with new tools and compliance requirements, while managing resource constraints, is a recurring aspect of the role. Successfully navigating these challenges helps the business leverage data as a strategic asset.

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

To thrive as a Data Platform Manager, you need expertise in data architecture, database management, and analytics, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics are commonly required. Strong leadership, problem-solving skills, and effective communication enable you to manage teams and coordinate with stakeholders. These skills ensure robust, scalable data infrastructures that support business intelligence and strategic decision-making.

What is a Data Platform Manager?

A Data Platform Manager is a professional responsible for overseeing the development, maintenance, and operation of an organization's data infrastructure. They manage data storage, processing, and integration solutions to ensure data is accessible, secure, and reliable for business needs. Their role often involves collaborating with data engineers, analysts, and IT teams to implement best practices and support data-driven decision-making. Additionally, they may oversee cloud data platforms, manage data governance, and ensure compliance with data privacy regulations.
What are the most commonly searched types of Data Platform jobs in Raleigh, NC? The most popular types of Data Platform jobs in Raleigh, NC are:
What are popular job titles related to Data Platform Manager jobs in Raleigh, NC? For Data Platform Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Platform Manager jobs in Raleigh, NC look for? The top searched job categories for Data Platform Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Platform Manager jobs? Cities near Raleigh, NC with the most Data Platform Manager job openings:
Data Platform Manager jobs near you
Senior Full-stack Software Engineer - Verification Data Platform

Senior Full-stack Software Engineer - Verification Data Platform

Nvidia

Durham, NC • Hybrid

$118K - $156K/yr

Full-time

Posted 10 days ago

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are now looking for a Senior Full-stack web applications software architect to join our Hardware Infrastructure team! Our team is building the next-generation event-driven data platform to power NVIDIA's GPU development efforts. We deliver the high-availability infrastructure that powers real-time data processing, streaming analytics, and scalable data-driven applications. This platform is essential for the hardware engineering teams across the company, producing the core services used for real-time tracking, AI agents development, anomaly detection, and debugging of complex hardware verification and data processing flows.

What you'll be doing:

  • Participate in the full life-cycle of tool development, test, and deployment of web applications and services for test automation and chip verification.

  • Develop and optimize real-time data processing pipelines using Kafka Streams, Apache Flink and Spark Streaming, ensuring high throughput, reliability, and low-latency performance.

  • Collaborate closely with hardware engineering and chip verification teams to understand data requirements and deliver robust, scalable data solutions and UIs

  • Establish optimal guidelines for streaming data architecture, schema management, data retention and platform observability (monitoring, logging, tracing).

  • Build microservices and AI agents that are reliable, scalable, and maintainable.

What we need to see:

  • Proven in-depth knowledge of Java and Python.

  • Knowledge of JavaScript/TypeScript and front-end frameworks (e.g., Ember.js, Vue.js) for building data visualization tools.

  • Expertise in designing and building distributed systems and microservices.

  • Deep understanding of Apache Kafka and proven experience building applications with Kafka Streams, Apache Flink or other event driven data pipelines.

  • Detailed knowledge of distributed systems principles, concurrency, data structures, and algorithms.

  • Deep understanding of the scalable data caching solution, specifically Redis

  • Excellent planning, presentation, and communication skills.

  • Familiarity with Linux ecosystems (including development and debugging tools).

  • BS/MS in Computer Science or related field (or equivalent experience), with 8+ years of experience for BS holders or 5+ years for MS holders.

Ways to stand out from the crowd:

  • Deep knowledge of the Elastic Stack (Elasticsearch, Kibana, Logstash) for logging and analytics.

  • Experience working with modern observability using OpenTelemetry (Grafana).

  • Experience with building agentic AI frameworks, LLM-powered autonomous agents, or integrating LLMs with real-time data streams for automated analysis or decision-making.

  • Familiarity with chip design process and/or EDA verification workflows.

  • Working experience with modern OLAP solutions like ClickHouse.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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