remote
Data Architect - Amentum
Software Engineer
Lead the design and implementation of enterprise data solutions, leveraging SQL, NoSQL, ETL pipelines, and cloud platforms to deliver scalable, high‑performance data architectures that support business intelligence and analytics.
About the role
Key Responsibilities
- Design, develop, and maintain enterprise data architecture, ensuring scalability, performance, and security across on‑premise and cloud environments.
- Lead the creation of data models, schemas, and metadata repositories to support analytics, reporting, and data governance initiatives.
- Architect and optimize ETL/ELT pipelines using modern tools (e.g., Airflow, dbt, Spark) to ingest, transform, and load data from diverse sources.
- Collaborate with data scientists, BI developers, and business stakeholders to translate requirements into robust data solutions.
- Implement and enforce data quality, lineage, and governance standards, integrating automated monitoring and alerting.
- Evaluate and recommend emerging data technologies, ensuring alignment with business strategy and technical roadmaps.
Requirements
- 5+ years of experience in data architecture, data modeling, and large‑scale data platform design.
- Proficiency in SQL, NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) and cloud data services (AWS Redshift, GCP BigQuery).
- Hands‑on experience with ETL/ELT tools, data orchestration, and big data frameworks (Spark, Hadoop).
- Strong programming skills in Python and familiarity with data processing libraries.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical stakeholders.