Senior Data Architect: Cloud, Big Data & National Security

Janus Soft Inc.; McLean (VA); On-site; USD 180,000 - 240,000; Full time

Job summary

Janus Soft Inc. seeks an elite Data Architect to drive mission-critical data acquisition, exploitation, engineering, and management initiatives.

You will architect, engineer, and optimize robust data systems alongside a multidisciplinary team, collaborating with Customer staff and external stakeholders to deliver scalable data architectures that support national security missions. The role requires TS/SCI with Full Scope Poly, expertise in AWS and the big data stack (HDFS, Hadoop, Spark,

Qualifications

• Active TS/SCI with Full Scope Polygraph clearance is mandatory.
• Experience architecting cloud infra and managing enterprise data in AWS.
• Hands-on with AWS, HDFS, Cloudera, Spark, Presto, SQL and NoSQL.
• Proven ETL design, development, and data integration across systems.
• Strong Python for data processing and pipelines.
• Cross-platform experience across Linux, Windows, and MacOS.
• Strong verbal and written communication for technical/non-technical stakeholders.

Responsibilities

• Lead design and delivery of mission-critical data architectures.
• Collaborate with data engineers, software developers, and security experts.
• Engineer scalable data systems serving national security missions.
• Communicate technical concepts clearly to diverse stakeholders.

Skills

Clearance TS/SCI

Cloud AWS

Big data stack

ETL pipelines

Python

Linux/Windows/MacOS

Communication skills

Job description

Janus Soft Inc. seeks an elite Data Architect to drive mission-critical data acquisition, exploitation, engineering, and management initiatives.

You will architect, engineer, and optimize robust data systems alongside a multidisciplinary team, collaborating with Customer staff and external stakeholders to deliver scalable data architectures that support national security missions. The role requires TS/SCI with Full Scope Poly, expertise in AWS and the big data stack (HDFS, Hadoop, Spark,