Morton
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Job Description
Position Title :
Data Architect Client :
Capital One Address :
Richmond, VA Schedule:
Hybrid (Tuesday-Thursday on Site) Duration :
6-Month Contract Pay Range :
~$75 / hr. 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 Have 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 Seniority level:
Mid-Senior level Employment type:
Contract Job function:
Engineering and Information Technology Industries:
IT Services and IT Consulting Referrals increase your chances of interviewing at Morton by 2x Get notified about new Data Architect jobs in McLean, VA Note: The original post contains extraneous and irrelevant information about other jobs and locations, which has been omitted for clarity.
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Data Architect Client :
Capital One Address :
Richmond, VA Schedule:
Hybrid (Tuesday-Thursday on Site) Duration :
6-Month Contract Pay Range :
~$75 / hr. 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 Have 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 Seniority level:
Mid-Senior level Employment type:
Contract Job function:
Engineering and Information Technology Industries:
IT Services and IT Consulting Referrals increase your chances of interviewing at Morton by 2x Get notified about new Data Architect jobs in McLean, VA Note: The original post contains extraneous and irrelevant information about other jobs and locations, which has been omitted for clarity.
#J-18808-Ljbffr