Senior Data Engineer/Architect

About the Role

looking for a Senior Data Engineer to design and build enterprise-scale data platforms that consolidate multiple data sources into a centralized, governed data warehouse while enabling AI and Machine Learning initiatives. This role requires strong expertise in modern data engineering, distributed processing, and hands-on experience with Dell AI Factory and NVIDIA GPU-accelerated infrastructure.

Responsibilities

• Design and develop enterprise data warehouse/lakehouse solutions.
• Build scalable ETL/ELT pipelines for structured and unstructured data.
• Develop high-performance data pipelines using Python, SQL, Spark, and modern data engineering tools.
• Deploy and optimize data infrastructure on Dell AI Factory and NVIDIA AI Enterprise platforms.
• Implement data governance, lineage, quality, security, and compliance standards.
• Create ML-ready datasets and feature stores for Data Science teams.
• Optimize storage and compute performance across hybrid/on-prem GPU environments.
• Collaborate with business stakeholders to translate requirements into scalable data solutions.
• Mentor junior engineers and establish engineering best practices.
• Document architecture, pipelines, and operational procedures.

Required Skills

• Data Engineering experience.
• Strong SQL and Python programming skills.
• Experience with Spark or distributed data processing frameworks.
• Experience with Kafka, Airflow, dbt, or similar modern data engineering tools.
• Hands-on experience with Snowflake, Databricks, Synapse, BigQuery, or enterprise data warehouse platforms.
• Hands-on experience with Dell AI Factory infrastructure and NVIDIA AI Enterprise (Required).
• Docker and Kubernetes experience.
• Knowledge of data governance, security, and compliance.
• Excellent communication and client-facing skills.

Preferred Skills

• Healthcare, Life Sciences, Clinical, or Pharma domain experience.
• NVIDIA RAPIDS.
• NVIDIA Triton Inference Server.
• NVIDIA NIM Microservices.
• MLOps and Feature Store implementation.
• NVIDIA DLI or Dell AI certifications.

Education

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related discipline.