Lead Data Engineer (Architecture & Data Governance) job opportunity at ARETUM, LLC.



Date2026-03-03T22:20:18.688Z bot
ARETUM, LLC Lead Data Engineer (Architecture & Data Governance)
Experience: 8-years
Pattern: Full-time
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loacation McLean, United States Of America
loacation McLean....United States Of America

Secret clearance required About Aretum Aretum is a mission-driven organization committed to delivering innovative, technology-enabled solutions to our customers across defense, civilian, and homeland security sectors. Our teams work at the intersection of strategy, technology, and transformation, helping agencies solve their most critical challenges. We believe in investing in our people and creating a culture where collaboration, inclusion, and professional growth are at the forefront. Job Summary Due to the nature of our work as a federal consulting organization, employees may be expected to handle Controlled Unclassified Information (CUI) and must adhere to applicable safeguarding and compliance requirements. Additionally, all team members may be called upon to support proposal efforts as needed. This could include resume formatting, providing skills alignment summaries, participating in meetings, or contributing to solutioning activities based on subject matter expertise or functional experience. Responsibilities 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 Required Qualifications 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) Preferred Qualifications Master’s degree in a technical or analytical discipline Certifications in AWS, Snowflake, or Databricks Experience supporting federal government clients or working in regulated environments Ability to support real-time analytics and customer value delivery across technology streams Experience with real-time data streaming technologies (e.g., Apache Kafka, AWS Kinesis) Familiarity with Agile methodologies and DevSecOps practices

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