Data Architect (TS/SCI+Poly) — Cloud, ETL & DataOps

GRVTY; McLean (VA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

GRVTY is seeking a Data Architect in McLean, VA with a TS/SCI + Poly clearance. The role supports data engineering, software, security, DevOps, data science, and program management across teams for data acquisition, exploitation, engineering, and management tasks.

You will collaborate with Customer staff and external stakeholders and work across organizational boundaries. The ideal candidate has extensive cloud experience (AWS), data management skills, and hands-on work with Hadoop, Cloudera,

Qualifications

• Active TS/SCI with Polygraph Clearance required.
• Experience with cloud infrastructure and data management.
• Experience with Windows, Linux, and MacOS.
• Experience with AWS and cloud environments.
• Experience with Hadoop, HDFS, Cloudera, Spark, Presto, SQL, NoSQL.
• Experience with data processing activities.
• Experience with Python.
• Experience building ETL pipelines.
• Experience integrating data flows with industry systems such as Niagra Falls.
• Ability to work independently in a fast-paced environment.
• Clear and concise communications for technical and non-technical audiences.

Responsibilities

• Support data engineering and operations across teams.
• Collaborate with Customer staff and external stakeholders.
• Communicate across organizational boundaries.
• Assist with data acquisition, exploitation, engineering, and management tasks.

Skills

Python

ETL pipelines

Cloud infrastructure

Data processing

Communication

Independent worker

Tools

Hadoop

Cloudera

Spark

Presto

SQL

NoSQL

Neo4j

Job description

GRVTY is seeking a Data Architect in McLean, VA with a TS/SCI + Poly clearance. The role supports data engineering, software, security, DevOps, data science, and program management across teams for data acquisition, exploitation, engineering, and management tasks.

You will collaborate with Customer staff and external stakeholders and work across organizational boundaries. The ideal candidate has extensive cloud experience (AWS), data management skills, and hands-on work with Hadoop, Cloudera,