Mid-Level Data Architect(Remote)

HRC Global Services
Reston, VA, United States
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
8 years minimum
Compensation
$131,300.0 - $237,350.0
Working hours
Regular working hours

Tech stack

Amazon Web Services Amazon S3 Continuous Integration Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing PostgreSQL Meta-Data Management Performance Tuning Standard Sql
+7 more
Data Lakes Data Management Oracle Ebusiness Oracle Erp Terraform Data Pipelines Databricks

Job description

We are looking for a Mid-Level Data Architect to support the design, implementation, and optimization of modern cloud-based data platforms. Working alongside senior architects, you will help build scalable data solutions, contribute to data modeling efforts, and support enterprise analytics initiatives. This role is an excellent opportunity for someone looking to grow into a senior architecture position while working on large-scale cloud data projects. Key Responsibilities

  • Assist in designing Data Lakes and Data Warehouses
  • Develop logical and physical data models
  • Support cloud-based data platform implementation
  • Build and optimize data repositories
  • Assist with metadata management and data cataloging
  • Participate in performance tuning activities
  • Support data governance initiatives
  • Work with Data Engineers to implement scalable solutions
  • Assist with CI/CD and Infrastructure as Code deployments
  • Support reporting and visualization teams
  • Participate in architecture reviews and design discussions, Description We are seeking an Oracle ERP / Fusion Solution Architect to support a large-scale Department of Defense human resources program built on Oracle E-Business Suite and e…
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Requirements

  • 4 8 years of Data Engineering/Data Architecture experience
  • Experience with Data Warehouses and Data Lakes
  • AWS cloud experience (S3, Redshift, Aurora PostgreSQL or equivalent)
  • Strong SQL
  • Data Modeling
  • ETL/Data Pipeline understanding
  • Databricks or similar cloud analytics platform
  • Basic Terraform or Infrastructure as Code exposure
  • Understanding of Data Governance
  • Strong analytical and problem-solving skills

DataArchitect | #CloudDataEngineer | #DataEngineer | #DataWarehouseEngineer | #DataPlatformEngineer | #AnalyticsEngineer | #DataModeling | #AWS | #S3 | #Redshift | #AuroraPostgreSQL | #Databricks | #SQL | #ETL | #DataPipelines | #ApacheSpark | #Python | #Terraform | #InfrastructureAsCode | #DataLake | #DataWarehouse | #CloudComputing | #BusinessIntelligence | #Tableau | #PowerBI | #Qlik | #DataGovernance | #Metadata | #CloudArchitecture | #AzureSynapse | #Snowflake | #BigData | #AWSCloud | #DataAnalytics | #ScalableSystems | #CloudEngineering

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