Senior Systems Architect - Data Ingestion & Integration

Insight Xcite; Reston (VA); On-site; USD 185,000 - 240,000; Full time

Benefits offered by this job

Employer-paid healthcare

Flexible PTO

Salary review process

401(k) with company contributions

Professional development support

Career growth opportunities

Job summary

Insight Xcite is seeking a Systems Architect in Reston, VA to lead data-collection, ingestion, and integration efforts for analytical platforms. The role requires designing user requirements, evaluating collection systems, and building data pipelines for analysis.

Onsite work at a Reston facility is expected. The ideal candidate has experience with mobile data, ETL tooling, data modeling, and secure handling of sensitive information.

Qualifications

• Experience collecting and exploiting data from mobile apps.
• Ability to analyze data sources, targets, definitions, and relationships.
• Experience building ETL tools, databases, and data modeling.
• Experience defining requirements with users and developing test requirements.
• Experience with image analysis using Photoshop or similar tools.
• Experience handling and transferring sensitive data.
• Ability to work independently and collaboratively.

Responsibilities

• Define requirements with users and improve data acquisition, sharing, processing, and exploitation.
• Assess datasets and integrate structured and unstructured data into platforms.
• Develop and test data ingestion, ETL, extraction, transformation, and loading solutions.
• Evaluate hardware and software, document processes, and coordinate technical reviews.

Skills

Data collection

Data exploitation

ETL tools

Data modeling

Documentation

Versioning

Independent work

Collaborative work

Requirements definition

Tools

ETL tools

Photoshop

Job description

Insight Xcite is seeking a Systems Architect in Reston, VA to lead data-collection, ingestion, and integration efforts for analytical platforms. The role requires designing user requirements, evaluating collection systems, and building data pipelines for analysis.

Onsite work at a Reston facility is expected. The ideal candidate has experience with mobile data, ETL tooling, data modeling, and secure handling of sensitive information.