Data Architect

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Act as the chief authority on architecture for the data workstream.

• Outline the comprehensive data architecture that encompasses ingestion, bronze/silver/gold processing, document pipelines, GIS processing, analytical data products, and downstream services.

• Design the lakehouse architecture utilizing Amazon S3, Apache Iceberg, AWS Glue Catalog, and DuckDB.

• Establish reusable patterns for batch, API, file, database, CDC, and event-driven ingestion.

• Create a metadata-driven architecture to support configuration-based source onboarding and source-to-canonical mappings.

• Define and oversee the common canonical data model aimed at harmonizing information across various source systems.

• Set forth data contracts and standards concerning lineage, provenance, reconciliation, schema evolution, auditability, and data quality.

• Formulate architecture patterns for agentic solutions that facilitate source analysis, mapping, pipeline generation, testing, reconciliation, and quality assurance.

• Implement controls for agentic workflows, including validation, observability, security, deterministic execution, and necessary human review.

• Coordinate architecture across structured data, OCR/document processing, vector search, and geospatial data.

• Offer architectural guidance and conduct design reviews for the data engineering, data science, GIS, and content pipeline teams.

• Collaborate with Government stakeholders and technical teams to convert business and domain requirements into scalable data models and services.

• Uphold architecture standards, technical decisions, interface specifications, and implementation guidance.

• Facilitate technical handoff and knowledge transfer to Government and operations teams.

⛳️ Requirements

• Over 10 years of experience in data architecture, data engineering, or software engineering, with a focus on leading modern data platform initiatives.

• Proven experience in designing cloud-based data lakehouse or analytical platforms.

• Practical experience with DuckDB, Apache Iceberg, SQL, Python, and AWS data services including Amazon S3 and AWS Glue.

• Background in designing medallion-style architectures, canonical data models, and metadata-driven ingestion and transformation frameworks.

• Experience in integrating databases, APIs, files, streaming/event sources, and enterprise SaaS applications.

• Knowledge in architecting or implementing agentic or AI-enabled solutions, including orchestration, tool integration, validation, observability, security, and human-in-the-loop controls.

• Strong understanding of data contracts, schema evolution, lineage, provenance, reconciliation, and data quality.

• Experience providing architectural leadership to multidisciplinary technical teams while translating business requirements into scalable technical solutions.

• Excellent written and verbal communication skills.

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field.

🏝️ Benefits

• Medical coverage.

• Dental coverage.

• Vision coverage.

• 401k plan with employer contribution.

• Paid holidays.

• Vacation.

• Tuition reimbursement.

• Periodic travel as required.