Data Architect

  • Posted 20 hours ago | Updated moments ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Accessibility
Accountability
Agile
Amazon Web Services
Analytics
Artificial Intelligence
Cloud Computing
Collaboration
Communication
Conflict Resolution
Dashboard
Data Architecture
Data Flow
Data Quality
Decision-making
Emerging Technologies
FOCUS
Google Cloud
Google Cloud Platform
Innovation
Integration Management
KPI
Leadership
Management
Mentorship
Microsoft Azure
Migration
MuleSoft
Performance Monitoring
Privacy
Problem Solving
Regulatory Compliance
Scalability
Scripting
Stakeholder Management
Team Building
Team Leadership
Workflow

Job Details

Role: Data Architect

Location: Remote

Duration: 12+ Months Contract

Qualifications:

  • 15+ years of overall IT experience, including 5+ years in data or integration management.
  • Strong expertise in:
    • Data architecture
    • ETL tools
    • API management
    • Cloud platforms (Azure, AWS, Google Cloud Platform)
  • Excellent communication, leadership, stakeholder management, and team-building skills.

Key Responsibilities:

  • Data Architecture Oversight: Define and maintain enterprise data models with focus on scalability, security, and compliance.
  • Integration Management: Build and manage integration frameworks to unify systems and ensure seamless data flow.
  • Operational Accountability: Oversee technology footprint including cloud platforms, APIs, applications, and scripts.
  • Data Quality & Governance: Implement standards for data accuracy, consistency, and accessibility for analytics and decision-making.
  • Agile Team Leadership: Guide agile teams, mentor engineers, and ensure consistent development practices.
  • Stakeholder Collaboration: Align data and integration strategies with business goals.
  • Risk & Compliance: Ensure data privacy compliance and mitigate integration-related risks.
  • Innovation & Strategy: Introduce emerging technologies (AI integration, data lakes) to improve long-term data strategy.
  • Problem Solving: Troubleshoot integration challenges and optimize data workflows.
  • Enterprise Modernization: Lead modernization initiatives across data platforms and cloud adoption.
  • Architecture Governance: Define and enforce architecture standards and best practices.
  • Program Oversight: Lead enterprise programs (MuleSoft upgrades, FAST migration, archival strategies).
  • Performance Monitoring: Establish KPIs and dashboards for tracking data quality, system health, and integration performance.

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.