VG Data Architect
Summary
Data architect on a contractor team supporting a government intelligence customer with data acquisition, exploitation, engineering, and management. Day-to-day involves building ETL pipelines and data processing in cloud and big-data environments (AWS, Hadoop/HDFS, Cloudera, Spark, Presto, SQL/NoSQL) using Python. Requires an ACTIVE Top Secret/SCI clearance with polygraph.
- Demonstrated experience with cloud infrastructure and data management.
- Demonstrated experience with multiple OS environments including Windows, Linux, and MacOS.
- Demonstrated experience with cloud environments, including AWS.
- Demonstrated experience with development environments including AWS, Hadoop distributed file system (HDFS), Cloudera, Spark, Presto, SQL, and NoSQL.
- Demonstrated experience conducting data processing activities.
- Experience working with Python
- Demonstrated experience building executing ETL pipelines
- Demonstrated experience with integrating data flows with industry standard systems such as Niagra Falls
- Ability to work independently in a fast-paced environment and be a proactive problem solver
- Experience providing clear and concise communications for both technical and non-technical audiences
- Knowledge of targeting workflows, tools and environments
- Experience with Large Language Models and agentic workflows.
- Experience with graphical databases such as Neo4J
- Experience working with a hard target mission area.