AI & Data Architect - AWS, Snowflake & Governance Leader

Guidehouse; McLean (VA); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

401(k) Retirement Plan

Health Savings Account

Tuition Reimbursement

Employee Referral Program

Paid Holidays

Job summary

Guidehouse is seeking a Data Architect to design, implement, and govern enterprise data architectures that support analytics, reporting, and AI use cases. The role offers architectural leadership across data modeling, data engineering, and data governance, in collaboration with cloud architects, engineers, and business stakeholders.

Requirements include 10+ years in data architecture/engineering, experience with AWS and Snowflake, and ability to work in a hybrid DC area environment.

Qualifications

• US Citizenship and ability to obtain and maintain a Public Trust.

Responsibilities

• Design and maintain logical and physical data models supporting enterprise analytics and AI initiatives.
• Define and oversee enterprise data architecture standards, patterns, and best practices.
• Lead solution architecture for data ingestion, transformation, storage, and consumption layers.
• Provide technical leadership across AWS and Snowflake data environments.
• Support data governance initiatives including metadata management, data quality, lineage, and stewardship.
• Translate business and regulatory requirements into scalable data architecture solutions.
• Partner with delivery teams during implementation to ensure architectural alignment and quality.

Skills

Data architecture

Data modeling

Data governance

Leadership

Stakeholder engagement

Cloud architecture

Tools

AWS

Snowflake

Job description

Guidehouse is seeking a Data Architect to design, implement, and govern enterprise data architectures that support analytics, reporting, and AI use cases. The role offers architectural leadership across data modeling, data engineering, and data governance, in collaboration with cloud architects, engineers, and business stakeholders.

Requirements include 10+ years in data architecture/engineering, experience with AWS and Snowflake, and ability to work in a hybrid DC area environment.