Technical Solutions Architect III - AI Storage & Data Platforms

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, including: 

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, Apache Airflow, and/or Prefect 

• Data lakehouse and data fabric concepts: Delta Lake, Apache Iceberg, Apache Hudi, Unity Catalog 

• Data ingestion, transformation, and movement tools (e.g., 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 

 

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $125,000.00 to $156,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay. 

 

The well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

• Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program