Enterprise Data Architect & Team Lead

UNAVAILABLE; McLean (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

UNAVAILABLE is seeking an Enterprise Data Architect to lead design, governance, and integration of enterprise data across complex environments in McLean, VA. You will guide modeling, standards, and cross‑functional collaboration with engineering, analytics, and product teams.

You will mentor data architects and engineers, supervise data contracts, and drive modernization using lakehouse, data mesh, and event‑driven approaches. Strong communication with executives is essential.

Qualifications

• Bachelor's or Master’s degree in a related technical field.
• 8+ years in data architecture or enterprise information roles.
• Experience with data modeling for analytics, AI/ML, or domain-driven design.
• Familiarity with lakehouse, data mesh, streaming, and multi-cloud.

Responsibilities

• Lead a team of Data Architects and Data Engineers in modeling data for analytics and enterprise integration.
• Develop canonical data models, semantic layers, and metadata structures.
• Guide adoption of data mesh, lakehouse, and event-driven patterns across platforms.
• Set standards for data contracts, lineage, quality, and governance.
• Collaborate with Data Engineering, MLOps, and AI teams to support scalable pipelines.
• Conduct architecture reviews and align with security and modernization roadmaps.
• Mentor junior staff and influence architectural decisions across programs.
• Define reusable architecture artifacts and support pre-sales with solution designs.

Skills

Data architecture

Team leadership

Data governance

Cloud platforms

Data modeling

Stakeholder communication

ETL/ELT design

Education

Bachelor's or Master's in CS/DI/Data Engineering

Tools

ERWin

dbt

Collibra

Databricks

Kubernetes

Job description

UNAVAILABLE is seeking an Enterprise Data Architect to lead design, governance, and integration of enterprise data across complex environments in McLean, VA. You will guide modeling, standards, and cross‑functional collaboration with engineering, analytics, and product teams.

You will mentor data architects and engineers, supervise data contracts, and drive modernization using lakehouse, data mesh, and event‑driven approaches. Strong communication with executives is essential.