Data Architect

Jobtailor; Virginia (MN); On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor is seeking a Senior Data Architect to lead the end-to-end design of data architectures supporting analytics, AI/ML, and operational reporting. You will define data models, ingestion patterns, and consumption frameworks while architecting for large-scale federal datasets.

Focus on secure, scalable platforms using Databricks and Palantir Foundry and establish governance standards across data integration and lineage.

Qualifications

• Requires ACTIVE and MAINTAINED SECRET federal security clearance.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience in data architecture, data engineering, or enterprise analytics roles.
• Hands-on experience with Databricks (Spark, Delta Lake) and performance optimization.

Responsibilities

• Lead end-to-end design of data architectures for analytics, AI/ML, and reporting.
• Define logical and physical data models, ingestion patterns, transformation layers, and consumption frameworks.
• Architect solutions for large-scale structured and semi-structured datasets, including federal data.
• Design secure, scalable data platforms using Databricks and Palantir Foundry.
• Establish architecture standards for data integration, metadata, lineage, and data quality.

Skills

Data architecture

Data engineering

Analytics

AI/ML workloads

Leadership

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Palantir Foundry

Job description

Responsibilities

• Lead the end‑to‑end design of data architectures supporting analytics, AI/ML, and operational reporting
• Define logical and physical data models, ingestion patterns, transformation layers, and consumption frameworks
• Architect solutions for large‑scale structured and semi‑structured datasets, including federal financial and operational data
• Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry
• Establish architecture standards for data integration, metadata, lineage, and data quality
• Ensure architectures align with federal security, compliance, and data governance requirements
• Partner with AI/ML, MLOps, and analytics teams to enable production‑grade model development and deployment
• Guide implementation teams through complex architectural decisions and trade‑offs
• Support system design reviews, technical documentation, and government architecture forums
• Mentor junior architects and engineers while providing technical leadership across engagements

Requirements

• An ACTIVE and MAINTAINED 'SECRET' Federal or DoD security clearance.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field
• FIVE (5) or more years of experience in data architecture, data engineering, or enterprise analytics roles
• Hands‑on experience with Databricks (Spark, Delta Lake, performance optimization, production architectures)
• Hands‑on experience with Palantir Foundry, including data pipelines, ontology, and analytics enablement
• Strong experience designing enterprise data architectures supporting analytics and AI/ML workloads
• Experience with SQL and distributed data processing frameworks
• Experience integrating multiple data sources and managing complex data pipelines

Certifications & Qualifications

• SECRET Federal security clearance