Senior Data & Systems Architect - Hybrid, Clearance

IPTA

Maryland

Hybrid

USD 140,000 - 180,000

Full time

3 days ago
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Job summary

IPT Associates (IPTA) is seeking a senior data engineering professional to design, build, and sustain data pipelines and BI solutions for ANG CDAO. You will develop SQL and Python ETL/ELT processes, ensure data quality, and optimize performance across multiple data sources.

You will collaborate with analysts, developers, and government stakeholders to deliver governed data products, enterprise apps, and AI-enabled capabilities while maintaining secure operations and compliance.

Qualifications

  • Bachelor's degree in CS/IS/DS/Engineering required.
  • 10+ years in data engineering, data analysis, BI, or related roles.
  • Security+ certification and active security clearance required.

Responsibilities

  • Design, develop, test, deploy, and sustain data engineering solutions for data collection, transformation, validation, and delivery.
  • Develop SQL and Python-based ETL/ELT pipelines, orchestration, monitoring, and recovery procedures for timely data availability.
  • Manage repository health, data quality controls, performance optimization, interfaces, and troubleshooting for reporting and decision support.
  • Collaborate with analysts, developers, and government stakeholders to implement BI products, Power Platform solutions, and AI-enabled capabilities using governed data sources.
  • Support Data Pipeline Development, Data Warehouse, BI products, and Enterprise Applications maintenance through secure engineering.

Skills

Data engineering
SQL
Python
BI concepts

Education

Bachelor's degree in CS/IS/DS/Engineering

Tools

Power Platform

Job description

IPT Associates (IPTA) is seeking a senior data engineering professional to design, build, and sustain data pipelines and BI solutions for ANG CDAO. You will develop SQL and Python ETL/ELT processes, ensure data quality, and optimize performance across multiple data sources.

You will collaborate with analysts, developers, and government stakeholders to deliver governed data products, enterprise apps, and AI-enabled capabilities while maintaining secure operations and compliance.

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