Title: Data Architect
Locations: Richmond, VA (Hybrid - 3 days /week Onsite)
Duration: 12+ months with possible extension.
Local candidates are more referred.
Project Description: Hiring a hands-on Data Architect to lead a large-scale data migration and integration initiative for a major platform modernization project. This role is ideal for someone who thrives at the intersection of strategy and execution you ll define architecture, guide tooling decisions, and work closely with engineering and analyst teams to bring scalable solutions to life.
Responsibilities:
Design architecture strategies for migrating data from legacy systems into modern, cloud-native platforms
Select appropriate tools and frameworks for migration and integration pipelines (e.g., Databricks, Snowflake, AWS)
Create high-level solution architecture and data mapping documentation
Collaborate with analysts and data engineers to align design with business requirements
Work closely with two existing data architects, contributing to architectural reviews and strategic planning
Support limited data modelling tasks in collaboration with analysts who lead mapping activities
Ensure alignment of technical execution with broader business goals
Must Haves:
Proficiency in SQL
Hands-on experience with Databricks and/or Snowflake
Strong working knowledge of AWS services (EMR, Glue, Lambda)
Proven experience in architecting data migration and integration solutions
Ability to collaborate across technical and business teams
Nice To Have:
Experience with Python
Exposure to data modeling concepts (dimensional, relational)
Familiarity with tools like dbt or Airflow is a plus