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Entry Level Principal Data Architect Jobs (NOW HIRING)

Jobgether

Build and enhance ETL pipelines for data ingestion, transformation, enrichment, and processing across distributed environments. * Implement and optimize chunking, prompting, and reranking strategies ...

PepsiCo

Principal AI Architect/Engineer

Plano, TX · On-site

PepsiCo is an industry leader in the food and beverage sector, seeking a Principal AI Architect ... data masking, PII redaction, and audit-log retention policies as defined by the security ...

Sequoia Financial Group Llc

Data Scientist

Dublin, OH · On-site

From experienced advisors to new college grads to transitioning principals, every team member will ... Work with data engineers and architects to ensure models are scalable and maintainable in ...

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Entry Level Principal Data Architect information

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$107K

$166.5K

$217K

How much do entry level principal data architect jobs pay per year?

As of Jun 10, 2026, the average yearly pay for entry level principal data architect in the United States is $166,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $192,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Principal Data Architect vs Data Engineer?

AspectEntry Level Principal Data ArchitectData Engineer
CredentialsBachelor's or Master's in CS, Data Science, or related; certifications like AWS, Azure, or Google CloudBachelor's in CS, Software Engineering, or related; certifications in cloud platforms or data tools
Work EnvironmentDesigns data architecture, oversees data strategy, collaborates with stakeholdersBuilds, maintains, and optimizes data pipelines and infrastructure
Industry UsageUsed across industries for high-level data strategy and architectureCommonly employed in tech, finance, healthcare for data processing tasks

The Entry Level Principal Data Architect focuses on designing and overseeing data architecture strategies, often working at a higher strategic level. In contrast, Data Engineers implement and maintain the data pipelines and infrastructure. Both roles require similar technical credentials but differ in scope and responsibilities, with the architect role emphasizing planning and design, and the engineer role focusing on execution and maintenance.

More about Entry Level Principal Data Architect jobs
What are the most commonly searched types of Principal Data Architect jobs? The most popular types of Principal Data Architect jobs are:
What job categories do people searching Entry Level Principal Data Architect jobs look for? The top searched job categories for Entry Level Principal Data Architect jobs are:
Entry Level Principal Data Architect jobs near you
Infographic showing various Entry Level Principal Data Architect job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 63% Full Time, 31% Part Time, 3% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $166,502 per year, or $80 per hour.
Datacenter GPU Power Architect

Datacenter GPU Power Architect

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 3 days ago

Job description

NVIDIA is known as a world leader in providing energy-efficient high-performance products and we continue to invest in the research and development of hyper-efficient GPU and SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional Perf/Watt solutions in a wide range of sectors and verticals. Come join NVIDIAs Applied Power Architecture team to develop state of the art GPUs to power AI, HPC, Automotive, GeForce, and Mobile products. We are looking for a Datacenter GPU Power Architect!
What you'll be doing:
  • You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX/HGX based datacenters.
  • Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
  • You will help with Performance vs Power Analysis, track ASIC milestones for impactful NVIDIA future product lineup.
  • Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
  • Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
  • Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.

What we need to see:
  • MSEE/MSCE, or equivalent experience with 2+ years of experience related to Power / Performance estimation and optimization techniques.
  • Knowledge of energy efficient chip design fundamentals and related tradeoffs.
  • Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
  • Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.
  • Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.
  • Familiarity with performance monitors/simulators used in modern processor architectures.

NVIDIA is widely considered to be one of the technology world's most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 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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