System Architect, Rate $40/Hr on C2C Remote Role.

Remote • Posted 2 hours ago • Updated 1 hour ago
Contract Corp To Corp
Contract W2
Remote
Up to $40/hr
Fitment

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Job Details

Skills

  • .NET
  • Advanced Analytics
  • Agile
  • Amazon Kinesis
  • Amazon Web Services
  • Analytical Skill
  • Analytics
  • Apache Kafka
  • Artificial Intelligence
  • C#
  • Cloud Computing
  • Collaboration
  • Communication
  • Computer Science
  • Conflict Resolution
  • Continuous Delivery
  • Continuous Integration
  • Cross-functional Team
  • Data Architecture
  • Data Engineering
  • Data Integration
  • Data Migration
  • Data Warehouse
  • Databricks
  • Decision-making
  • DevOps
  • Docker
  • Documentation
  • ELT
  • Enterprise Architecture
  • Evaluation
  • Extract
  • Transform
  • Load
  • Git
  • IT Management
  • Information Security Governance
  • Information Systems
  • Kubernetes
  • Leadership
  • Legacy Systems
  • Machine Learning (ML)
  • Management
  • Messaging
  • Microsoft
  • Microsoft Azure
  • Migration
  • Oracle
  • Orchestration
  • Problem Solving
  • Python
  • Real-time
  • Recruiting
  • Regulatory Compliance
  • Reporting
  • Software Architecture
  • Software Design
  • Software Engineering
  • Streaming
  • Systems Design
  • Use Cases
  • Version Control

Summary

Position Overview

The System Architect will be responsible for designing, governing, and overseeing scalable, secure, and high-performing application and data architectures. This role plays a critical part in modernizing enterprise systems and supporting the migration from legacy on-premise platforms to cloud-based environments.

The ideal candidate will bring strong expertise in cloud-native architectures, data engineering, and enterprise system design, along with the ability to provide technical leadership and collaborate across cross-functional teams.

Key Responsibilities

Architecture Design & Implementation

  • Design, develop, and maintain scalable, secure, and high-performance application and data architectures.

  • Ensure alignment with business requirements, operational goals, and enterprise architecture standards.

  • Establish and document reference architectures for cloud-native, hybrid, and on-premise environments.

Cloud & Modernization Initiatives

  • Lead migration efforts from legacy systems to cloud-based platforms.

  • Design solutions using containerization and orchestration technologies (e.g., Docker, Kubernetes).

  • Provide architectural guidance for hybrid and multi-cloud environments.

Data Architecture & Engineering

  • Define enterprise data architecture strategies and target-state designs.

  • Lead data migration initiatives from legacy systems (e.g., Oracle-based platforms) to modern data platforms.

  • Support development of data lakes, data warehouses, and analytics platforms.

  • Design and guide both batch and real-time data integration patterns (ETL/ELT, streaming pipelines).

Analytics & Data Platforms

  • Provide architectural oversight for modern data platforms (e.g., Databricks, Microsoft Fabric, cloud-based analytics solutions).

  • Support integration of transactional systems with analytics and reporting platforms.

  • Enable readiness for advanced analytics and AI/ML initiatives.

DevOps & CI/CD

  • Design and govern CI/CD pipelines for application and data platform deployments.

  • Ensure repeatable, reliable, and secure deployment processes across environments.

  • Support DevOps best practices and automation strategies.

Collaboration & Leadership

  • Work closely with developers, data engineers, cloud architects, and operations teams.

  • Provide technical leadership, solution design reviews, and architectural governance.

  • Guide both technical and non-technical stakeholders in decision-making.

Governance & Documentation

  • Develop and maintain architectural standards, documentation, and best practices.

  • Conduct periodic architecture reviews and ensure compliance with governance and security policies.

  • Evaluate technical solutions and provide recommendations for improvement.

Reporting & Communication

  • Provide regular status updates on progress, risks, and issues.

  • Participate in and facilitate technical and project meetings.

Required Qualifications

  • Bachelor s degree in Computer Science, Software Engineering, Information Systems, or a related field.

  • Minimum 3+ years of experience as a System Architect or in a similar senior technical role.

  • Proven experience designing and supporting enterprise-scale application and data architectures.

Required Technical Skills

Cloud & Infrastructure

  • Experience with cloud platforms (AWS, Azure).

  • Strong understanding of cloud-native and hybrid architectures.

  • Experience with containerization and orchestration (Docker, Kubernetes).

Development & Tools

  • Proficiency in .NET Core, Python, and C#.

  • Experience with source control systems (e.g., Git).

  • Familiarity with Agile software development methodologies.

Data & Integration

  • Experience with enterprise data architecture and data migration strategies.

  • Strong knowledge of ETL/ELT processes and real-time data integration.

  • Familiarity with streaming and messaging platforms (e.g., Kafka, Kinesis, Service Bus).

Analytics Platforms

  • Experience with modern data platforms such as Databricks, Microsoft Fabric, or similar.

DevOps

  • Experience designing and implementing CI/CD pipelines.

  • Knowledge of DevOps practices and deployment automation.

Core Competencies

  • Strong analytical and problem-solving skills.

  • Ability to evaluate complex systems and provide sound architectural recommendations.

  • Excellent communication and collaboration skills.

  • Experience working in cross-functional, team-oriented environments.

  • Understanding of enterprise security, governance, and compliance requirements.

Preferred Qualifications

  • Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect, Databricks certifications).

  • Experience leading technical teams or providing architectural oversight.

  • Exposure to AI/ML data platform readiness and analytics use cases.

Evaluation Criteria

Candidates will be assessed based on:

  • System and application architecture experience

  • Enterprise data architecture and migration expertise

  • Cloud technologies proficiency

  • Data and analytics platform experience

  • CI/CD, DevOps, and Agile practices

  • Technical leadership and project experience

  • Cost competitiveness (if applicable in hiring context)

  • Resume quality and overall experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91094174
  • Position Id: 8957352
  • Posted 2 hours ago
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