Enterprise Data Solutions Architect | Lakehouse & AI

Steampunk, Inc.; McLean (VA); On-site; USD 140,000 - 180,000; Full time

Job summary

Steampunk, Inc. is seeking a seasoned Data Solution Architect to work with our team and clients to develop enterprise-grade data platforms, services, pipelines, data models, visualizations, and more.

The role combines deep technical leadership with outstanding communication and customer service. You will design greenfield data stacks, migrate legacy environments, assess data sources and workflows, and build lakehouse solutions using Databricks on AWS, Azure, or GCP.

Qualifications

• Public trust with the U.S. Government is preferred.
• 12+ years in data engineering or 8+ years with a Master's.
• Experience with lakehouse platforms and data pipelines.

Responsibilities

• Design greenfield data stacks in cloud and on‑prem environments.
• Lead migration of legacy data environments for performance/reliability.
• Assess data sources, models, schemas, and workflows for scalable architectures.
• Develop modernization strategies for ETL, pipelines, BI tools and reporting.
• Architect enterprise databases, data warehouses and lakehouses (Databricks).
• Support Agile SDLC with architectural guidance for cross-functional teams.

Skills

SQL

Python

Databricks

Apache Spark

Data pipelines

Education

Bachelor's degree

Master's degree

Tools

Delta Lake

MLflow

Apache Spark

Job description

Steampunk, Inc. is seeking a seasoned Data Solution Architect to work with our team and clients to develop enterprise-grade data platforms, services, pipelines, data models, visualizations, and more.

The role combines deep technical leadership with outstanding communication and customer service. You will design greenfield data stacks, migrate legacy environments, assess data sources and workflows, and build lakehouse solutions using Databricks on AWS, Azure, or GCP.