Technical Solutions Architect III - AI Storage & Data Platforms

World Wide Technology; Maryland Heights (MO); On-site; USD 125,000 - 156,000; Full time

Benefits offered by this job

Health, Dental, and Vision Care

401k Plan with Company Matching

Competitive pay

Job summary

World Wide Technology is hiring a Technical Solutions Architect in Maryland Heights, Missouri, to design high-performance data and storage platforms for AI workloads. The ideal candidate will have over 5 years of experience in enterprise storage and be familiar with advanced technologies.

Join a leading team at WWT to work on cutting-edge AI solutions, collaborating with top vendors. Benefits include competitive pay and profit sharing, along with comprehensive health care and generous paid time off.

Qualifications

• 5+ years of experience in enterprise storage and data platform solutions.
• Familiarity with NVIDIA AI Data Platform design and validation frameworks.
• Experience with cloud storage integration such as AWS S3 and Azure Blob.

Responsibilities

• Architect and deliver high-performance storage and data platform solutions.
• Engage with executive and technical audiences for presentations.
• Design data pipelines for various data processing frameworks.

Skills

Enterprise storage and data platform solutions

High-performance parallel file systems

Data pipeline design and orchestration

Strong communication skills

Tools

Apache Spark

NVIDIA AI Data Platform

Python

Apache Kafka

Job description

World Wide Technology (WWT) is a global technology solutions provider dedicated to enabling AI and digital transformation. We partner with leading vendors to help customers design, build, and deploy high‑performance AI and machine learning solutions at scale.

What will you be doing?

World Wide Technology is seeking a Technical Solutions Architect (TSA) – AI Storage & Data Platforms to architect and deliver high‑performance storage, data platform, and data pipeline solutions that power AI and machine learning workloads at scale.

Why Join the HPA Team?

Our AI & High‑Performance Architectures team sits at the intersection of infrastructure and intelligence—designing the data foundations that make AI possible. You’ll work with the most advanced storage and data platform technologies on the market and partner with NVIDIA, NetApp, VAST Data, Weka, DDN, Dell, and Everpure to deliver high‑visibility solutions.

Required Qualifications

5+ years of experience architecting, implementing, selling, or marketing enterprise storage and data platform solutions with a strong focus on AI/ML infrastructure.

Storage & Data Infrastructure

• High‑performance parallel file systems (VAST Data Platform, Weka Data Platform, DDN EXAScaler/AI400, IBM GPFS/Spectrum Scale, Lustre)
• Enterprise NAS and object storage (NetApp ONTAP AI, StorageGRID, Dell PowerScale Isilon, Dell ECS/ObjectScale, Dell PowerStore)
• Storage sizing and performance modeling for AI training, checkpointing, and inference workloads

NVIDIA AI Data Platform

• Familiarity with NVIDIA AI Data Platform design requirements, reference architectures, and validation frameworks
• Experience with NVIDIA GPU‑Direct Storage, NVAIE, Mission Control, and related software ecosystem components
• Understanding of how storage and data platforms integrate with NVIDIA DGX, HGX, MGX, and OVX compute architectures

Data Pipelines & Frameworks

• Data pipeline design and orchestration using Apache Spark, Ray, Dask, Airflow, and Prefect
• Data lakehouse and data fabric concepts (Delta Lake, Apache Iceberg, Apache Hudi, Unity Catalog)
• Data ingestion, transformation, and movement tools (Apache Kafka, Apache NiFi, Airbyte)

Professional Skills

• Demonstrated ability to engage executive and technical audiences with equal fluency
• Strong written and verbal communication skills; experience delivering architecture presentations and technical proposals
• Sound organizational, conflict resolution, time management, and negotiation skills

Nice to Have

• Python scripting for data pipeline automation or storage performance testing
• Experience with NVIDIA Run:ai, Slurm, or other workload schedulers as they relate to storage I/O optimization
• Previous exposure to NVIDIA Enterprise and NCP reference architectures
• Experience with cloud storage integration (AWS S3, Azure Blob, Google Cloud Storage, and hybrid data fabric designs)
• Familiarity with data governance, data cataloging, and compliance frameworks in AI environments

Travel Requirements

25-50%.

Salary

A reasonable estimate of the current base pay range for this position is $125,000 to $156,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs.

Benefits

• Health, Dental, and Vision Care; Onsite Health Centers; Employee Assistance Program; Wellness program
• Competitive pay; Profit Sharing; 401k Plan with Company Matching; Life and Disability Insurance; Tuition Reimbursement
• PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year); Parental Leave; Military Leave; Bereavement
• Nursing Mothers Benefits; Voluntary Legal; Pet Insurance; Employee Discount Program