Data Architect
On-siteWashington, United States or Vienna, Virginia, United States
Job Summary
Design and implement scalable data architectures and data models to support claims intake, adjudication workflows, and performance analytics for the Modern Disability Claims program. Develop and optimize ETL/ELT pipelines, build cloud-based data platforms, and support integration across structured and unstructured sources. Monitor database performance, enforce data governance and security standards, and assist in migrating legacy data environments. Requires U.S. citizenship, a Bachelor's degree, and a Public Trust clearance, with 3+ years of data architecture experience.
Required Qualifications
- U.S. Citizenship
- Bachelor's degree in Computer Science, Systems Engineering, Data Science, or related field
- Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement)
- 3+ years of experience in data architecture with demonstrated ownership of enterprise data warehouse design
- Python
- SQL
- Pandas
- PySpark
- NumPy
- Git
- Databricks
- Redshift
- BigQuery
- Apache Hive
- Developing and automating large-scale data environments
Desired Qualifications
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
- Experience designing conceptual, logical, and physical data models
- Experience with cloud platforms including AWS, Azure, or GCP
- Knowledge of modern data lake and data warehouse architectures
- Apache Kafka
- Airflow
- Spark
- NiFi
- Understanding of big data ecosystems and distributed computing frameworks
- Experience supporting AI/ML workflows and analytics platforms
- Knowledge of data governance, security, and compliance best practices
- CI/CD pipelines and software development best practices
- Supporting defense, healthcare, benefits administration, or other mission-critical federal programs
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