Senior Data Architect: Cloud, ETL Pipelines & AI Workflows

VT Group (VTG); McLean (VA); On-site; USD 180,000 - 240,000; Full time

Job summary

VT Group (VTG) seeks an experienced Data Architect in McLean, VA to support data acquisition, exploitation, engineering, and management tasks across data engineering, security, DevOps, applications, data science, and program management. You will design scalable data architectures and collaborate with stakeholders across teams.

The role requires hands-on experience with AWS, Hadoop ecosystem (HDFS, Spark, Presto), SQL/NoSQL, ETL pipelines, and data integration with industry-standard systems.

Qualifications

• Cloud infrastructure and data management experience.
• Experience with AWS, Hadoop, Spark, Presto, SQL and NoSQL.
• Strong written and verbal communication for technical and non-technical audiences.

Responsibilities

• Demonstrated experience with cloud infrastructure and data management.
• Demonstrated experience with multiple OS environments (Windows, Linux, and MacOS).
• Demonstrated experience with cloud environments, including AWS.
• Experience with Hadoop HDFS, Cloudera, Spark, Presto, SQL and NoSQL.
• Experience conducting data processing activities.
• Experience with Python.
• Experience building and executing ETL pipelines.
• Experience integrating data flows with industry standard systems such as Niagara Falls.
• Ability to work independently in a fast-paced environment.
• Experience providing clear and concise communications for both technical and non-technical audiences.

Skills

Cloud architecture

ETL development

Python

Data integration

Communication

Tools

AWS

Hadoop

Spark

Presto

SQL

NoSQL

Neo4j

Job description

VT Group (VTG) seeks an experienced Data Architect in McLean, VA to support data acquisition, exploitation, engineering, and management tasks across data engineering, security, DevOps, applications, data science, and program management. You will design scalable data architectures and collaborate with stakeholders across teams.

The role requires hands-on experience with AWS, Hadoop ecosystem (HDFS, Spark, Presto), SQL/NoSQL, ETL pipelines, and data integration with industry-standard systems.