Senior Data Architect: Databricks & GenAI Platform

Karsun Solutions; Herndon (VA); Hybrid; USD 160,000 - 190,000; Full time

Job summary

Karsun Solutions is seeking a Senior/Lead Technical Data Architect to design and operate enterprise data platforms that power GenAI and AI/ML use cases. This hands-on role will involve architecting and implementing data solutions optimized for ML workloads.

The ideal candidate will have 8+ years of data engineering experience and solid hands-on skills in Databricks and cloud platforms, specifically AWS. Responsibilities include leading data pipeline development and model operationalization.

Qualifications

• 8+ years of hands-on experience in data engineering/platform architecture; 3+ years in an architect or lead role.
• Candidate must hold an active AWS Certified Machine Learning – Specialty certification.
• Strong experience building ML/LLM pipelines and operationalizing models.

Responsibilities

• Architect and implement enterprise data platforms optimized for ML, LLMs, and GenAI workloads.
• Lead design and implementation of Databricks workspaces, Unity Catalog, and Delta Lake.
• Build end-to-end data pipelines using Databricks Jobs, Spark SQL, and orchestration tools.

Skills

Data engineering/platform architecture

Databricks expertise

Cloud platform experience (AWS)

ML pipeline building

Python expertise

SQL skills

CI/CD experience

Data governance and security

Education

BA or BS in CS, Computer Engineering, IT or related field

Tools

Databricks

PySpark

Terraform

AWS Certified Machine Learning – Specialty

Job description

Karsun Solutions is seeking a Senior/Lead Technical Data Architect to design and operate enterprise data platforms that power GenAI and AI/ML use cases. This hands-on role will involve architecting and implementing data solutions optimized for ML workloads.

The ideal candidate will have 8+ years of data engineering experience and solid hands-on skills in Databricks and cloud platforms, specifically AWS. Responsibilities include leading data pipeline development and model operationalization.