Senior Data Platform Architect — ETL, ML & Analytics

NVIDIA; Santa Clara (CA); On-site; USD 168,000 - 322,000; Full time

Job summary

NVIDIA Operations in Santa Clara, CA seeks an experienced System Data Architect to build data platforms, ETL tools, and analytics capabilities that turn raw data into actionable insights. You will lead data strategy, develop scalable ETL pipelines, and own data transformation tools used in AI/ML across diverse data sources and systems.

The role emphasizes Python-based data processing, Spark workflows, and data lake design on AWS/Cloud, with collaboration across semiconductor and server

Qualifications

• Bachelor's or Master's degree in Computer Science or Information System, or equivalent experience with programming knowledge (i.e. Python, Database architectures, etc.)
• 7+ years of relevant experience
• Experienced in defining/leading projects, collecting requirements, setting timelines, and delivering on results
• Experience in architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems
• Strong Python experience, with focus in data extraction and transformations
• In-depth experience in crafting ETL pipelines using Spark, SQL, AWS/Cloud
• Solid understanding of operational processes in semi-chips, boards, systems, and servers

Responsibilities

• Lead and plan data strategy with team members and IT to identify and implement the right data strategy, given data sources, data locations, and use cases.
• Build, scale, and optimize self-serve ETL frameworks, streaming pipelines to handle data storage and real-time analytics
• Design and implement framework modules to extract data from various source systems, validate the integrity, apply business transformation, and store data in a Data Lake (AWS, Azure, others)
• Enable a self-service and Machine Learning platform for individual business units
• Take ownership of data platform and transformation tools used in AI/ML

Skills

Python programming

ETL/data transformation

Data modeling

Project leadership

Cloud data platforms

Education

Bachelor's degree in Computer Science or Information Systems

Master's degree in Computer Science or Information Systems

Tools

Spark

SQL

AWS/Cloud

Kubernetes

Docker

Terraform

Tableau

PowerBI

Jupyter Notebooks

Parquet

Protobuf

Schema evolution

Job description

NVIDIA Operations in Santa Clara, CA seeks an experienced System Data Architect to build data platforms, ETL tools, and analytics capabilities that turn raw data into actionable insights. You will lead data strategy, develop scalable ETL pipelines, and own data transformation tools used in AI/ML across diverse data sources and systems.

The role emphasizes Python-based data processing, Spark workflows, and data lake design on AWS/Cloud, with collaboration across semiconductor and server