Lead Data Engineer – Architecture, Data Governance

Role Overview

• Lead hands-on development of data pipelines and data platform components, including writing and reviewing production-quality code
• Own end-to-end delivery for assigned pipelines and services
• Build, improve, and maintain ETL/ELT pipelines for large-scale data ingestion and transformation
• Implement CI/CD and automated testing for data pipelines (integration tests, data validation, and release workflows)
• Establish operational readiness for production data workflows
• Optimize performance and cost of pipelines and storage through tuning, partitioning, and workload right-sizing in AWS GovCloud
• Contribute to and implement modern data architecture patterns, including lakehouse approaches
• Ensure architecture and implement support DoD strategic initiatives, including enterprise data modernization efforts
• Drive creation and upkeep of data transformation roadmaps and technical documentation; support data maturity assessments and current-state analysis across agency-wide programs
• Translate technical approaches into clear, business-understandable frameworks and recommendations.
• Partner with cross-functional teams and program offices to understand data requirements, enable data-driven decision-making, and translate technical approaches into business-understandable frameworks and recommendations.
• Support delivery of leadership priority initiatives (e.g., childcare forecasting, Military OneSource analytics, readiness dashboards) and design/implement data solutions that connect outreach efforts to program uptake and readiness outcomes, for users with varying technical proficiency levels

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or related field
• Minimum of 8 years of experience in data architecture, data engineering, or related roles
• Certifications in CompTIA Security+
• Active security clearance of SECRET or higher
• Proven experience designing and implementing solutions in AWS GovCloud
• Hands-on experience with modern cloud data platforms (such as Snowflake, Databricks, AWS Redshift, or equivalent)
• Strong understanding of data modeling, data warehousing, and cloud-native architectures
• Experience with ETL/ELT tools and frameworks
• Familiarity with data governance, metadata management, and compliance standards
• Strong understanding of NIST regulations and standards and FedRAMP compliance standards
• Excellent communication and collaboration skills
• Understanding of military family support programs and their data ecosystems
• Experience with multi-domain data integration (program operations, outreach/engagement, and IT performance metrics)

Tech Stack

• Amazon Redshift
• AWS
• Cloud
• ETL

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off
• Family Leave (Maternity, Paternity)
• Short Term & Long-Term Disability
• Training & Development