AI-Driven Data Architect | AWS & Snowflake Expert

Dovel Technologies, Inc; McLean, Northern (VA, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

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

Responsibilities include defining data architecture standards, leading data ingestion, transformation, storage, and consumption layers, and ensuring quality and

Qualifications

• US citizenship required and ability to obtain public trust.
• Bachelor’s degree in a relevant field.
• 10+ years in data architecture or related tech roles.
• Experience with AWS and Snowflake data environments.
• Experience with data modeling and enterprise data design.
• Experience with data governance and stakeholder engagement.
• Ability to work in a hybrid environment in the DC area.

Responsibilities

• Design and maintain enterprise data models for analytics and AI.
• Define enterprise data architecture standards and best practices.
• Lead data ingestion, transformation, storage, and consumption layers.
• Provide technical leadership across AWS and Snowflake environments.
• Support metadata management, data quality, lineage, and stewardship.
• Partner with delivery teams to ensure architectural alignment during implementation.

Skills

US Citizenship

Public Trust Eligibility

Data Architecture

AWS

Snowflake

Data Modeling

Data Governance

Stakeholder Engagement

Hybrid Work

Education

Bachelor's degree

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. This role provides architectural leadership across data modeling, data engineering, and data governance, collaborating with cloud architects, engineers, and business stakeholders.

Responsibilities include defining data architecture standards, leading data ingestion, transformation, storage, and consumption layers, and ensuring quality and