Security-Cleared AWS Data Architect (Top Secret/SCI)

North Point Technology; Washington (Washington County); On-site; USD 140,000 - 190,000; Full time

Job summary

North Point Technology is seeking a Data Architect to design and build classified data lake solutions within AWS classified (ADC) regions. The successful candidate will have an active TS/SCI clearance and architect secure, scalable data platforms that turn mission data into analytics-ready assets for the intelligence community.

The role emphasizes deep AWS data engineering expertise, governance, and protection, with a focus on cross-domain data handling and compliant security controls.

Qualifications

• Designing and implementing scalable data lake architectures using S3, Glue, and Lake Formation.
• Building ETL/ELT pipelines for data ingestion from diverse sources (databases, APIs, streaming, and flat files).
• Data governance implementation - cataloging, data lineage, access control, and classification/tagging.
• Analytics and query layer development using Athena, Redshift, and EMR.
• Data protection using encryption, access controls, and audit logging.

Responsibilities

• Design and implement scalable data lake architectures on AWS within classified regions.
• Build ETL/ELT pipelines to ingest diverse data sources.
• Ensure data governance, security controls, and audit logging.

Skills

Data lake design

ETL/ELT development

Data governance

Cloud data engineering AWS

Security/compliance

Tools

S3

AWS Glue

Lake Formation

Athena

Redshift

EMR

Job description

North Point Technology is seeking a Data Architect to design and build classified data lake solutions within AWS classified (ADC) regions. The successful candidate will have an active TS/SCI clearance and architect secure, scalable data platforms that turn mission data into analytics-ready assets for the intelligence community.

The role emphasizes deep AWS data engineering expertise, governance, and protection, with a focus on cross-domain data handling and compliant security controls.