onsite
Data Architect / Science Lead - Amivero
Software Engineer
Lead data architecture and science initiatives, designing scalable data solutions and driving advanced analytics using Python, SQL, AWS, and machine learning to empower federal government services.
About the role
Key Responsibilities
- Architect and implement enterprise‑scale data pipelines and lakehouse solutions on AWS, ensuring performance, security, and compliance for federal clients.
- Lead data modeling, schema design, and metadata management to support analytics, reporting, and AI initiatives.
- Collaborate with cross‑functional teams to translate business requirements into robust data solutions and advanced machine‑learning models.
- Mentor and guide data engineers, scientists, and analysts, fostering best practices in data quality, governance, and reproducibility.
- Drive continuous improvement of data processes, tooling, and documentation, leveraging modern agile methodologies.
Requirements
- 10+ years of experience in data architecture, engineering, or science roles within large, regulated environments.
- Proficiency in SQL, Python, and AWS services (S3, Redshift, Glue, Athena, EMR).
- Strong background in data modeling, ETL, and big‑data technologies (Spark, Hadoop).
- Hands‑on experience building and deploying machine‑learning models at scale.
- Excellent communication skills and a proven ability to lead technical teams and projects.
Skills
sqlpythonawsmachine learning