Data Engineering Lead at Ignite IT

Type: Full-time
Level: Lead
Posted: Feb 25, 2026

Description

The Data Engineering Lead designs and implements modern, scalable data architectures to migrate legacy, file-based analytical systems to AWS Cloud Native environments. This involves transforming legacy SAS-based data storage models into structured, governed, and scalable data models optimized for cloud-native processing. The lead ensures data integrity, performance, and visibility across a system-of-systems modernization initiative, providing technical leadership for data modeling, ingestion patterns, validation frameworks, and transparency reporting.

Required Skills

Python
AWS data architectures
data modeling
ingestion patterns
validation frameworks
transparency reporting

Additional Information

Required Previous Experiences: 8+ years of experience in data engineering or data architecture.
Demonstrated experience transforming legacy file-based systems into cloud-native data architectures.
Experience developing data models for high-volume, data-intensive applications.
Deep experience with AWS data services (Glue, Lambda, S3, Aurora/Postgres, EventBridge, etc.).
Experience designing scalable ETL/ELT pipelines.
Experience building analytical dashboards (e.g., QuickSight or equivalent).
Experience implementing automated data validation and quality controls.
Experience working in Agile Scrum Teams.
Preferred Qualifications: Experience modernizing SAS-based data environments.
Experience supporting system-of-systems integration programs.
Experience implementing data lineage and metadata management.
Experience operating in regulated or federal environments.