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Data Architect

CloudAI TechnologiesWashington, DC🇺🇸United StatesPosted 27 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

 

  Washington, DC (Hybrid)       Reports to Data Practice Lead       Full-Time

Design and implement robust data solutions that power our analytics and AI initiatives, translating business needs into scalable models and pipelines.

 

RESPONSIBILITIES

 

  • Design and maintain data models, schemas, and pipelines across cloud platforms.
  • Build and optimize ETL/ELT processes for reliable, high-quality data.
  • Implement data governance, quality, and documentation standards.
  • Collaborate with analysts, data scientists, and engineers.
  • Integrate diverse data sources into centralized platforms.

QUALIFICATIONS

  • 4+ years in data engineering or data architecture.
  • Strong SQL and data modeling skills.
  • Hands-on with AWS, Azure, or Google Cloud Platform.
  • Modern warehouses/lakes (Snowflake, Databricks, BigQuery, Redshift).
  • Familiarity with orchestration tools (Airflow, dbt).

Skills

SQL
AWS
ETL
Snowflake
Airflow
Azure
BigQuery
Databricks
Google Cloud
Redshift
dbt

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