Enterprise & Metadata Architect

Overview

Hybrid
$79 - $86
Contract - W2
Able to Provide Sponsorship

Skills

Apache Kafka
Agile
Amazon Web Services
DevOps
SAML
SOAP
SSO
SaaS
Salesforce.com
Microsoft Azure
OAuth
Meta-data Management
Regulatory Compliance
GraphQL
GRID
Cloud Computing
Artificial Intelligence

Job Details

Job Title: Enterprise & Metadata Architect

Pay Rate: $79.00 to $86.00 per hour, (varies depending on factors described below)

Location Details: Torrance, California

Work Type: Onsite - 80% or more, Minimum 4 Days in Office

This is a multi-year opportunity and a full-time, contract position.

!!! ONLY W2 - NO CORP to CORP - NO 3rd Parties !!!

H1B Transfer is Available

POSITION IS LOCATED IN TORRANCE, CA
Job Description:
Highly experienced, independent, and strategic Senior IT Integration Architect to lead the design and delivery of enterprise integration solutions across a diverse application and data landscape. This role will be responsible for orchestrating seamless system communication, modernizing integration strategies, and enabling platforms such as microsites, cloud services, APIs, and enterprise metadata platforms like DataHub.

Will need to operate as both a visionary leader and hands-on architect, collaborating across business and IT units to build integration frameworks that are secure, scalable, and future-ready.
Key Responsibilities:

  • Architect end-to-end integration solutions, including APIs, event streaming, messaging, and data pipelines
  • Design integration for microsites and headless CMS platforms, ensuring cohesive user experience, SSO, and content flow
  • Define canonical models, interface contracts, transformation logic, and reusable integration patterns
  • Lead the integration of DataHub with enterprise systems to enable real-time metadata collection and lineage insights
  • Act as the enterprise integration authority, leading architecture efforts and influencing decision-making across programs
  • Work independently with minimal oversight while guiding development and architecture teams toward delivery excellence
  • Establish integration standards and strategies aligned with enterprise data governance and business priorities
  • Partner with data governance teams to ensure DataHub integration supports metadata harvesting, lineage tracking, and data discovery across platforms
  • Drive implementation of complex integrations across SaaS, on-prem, cloud-native, and hybrid platforms
  • Guide teams through the delivery lifecycle: design, development, testing, deployment, and monitoring
  • Review and approve technical designs, solution blueprints, and integration code for quality and alignment
  • Implement and enforce integration governance: versioning, lifecycle, monitoring, and documentation
  • Collaborate with data and platform engineering teams to enable metadata-driven integration and discoverability using DataHub
  • Ensure integration solutions adhere to performance, availability, security, and compliance requirements
  • Manage relationships with vendor partners to ensure alignment with architectural standards and business goals
  • Establish and maintain governance frameworks for team and vendor partners to ensure the effectiveness of architecture services
  • Prepare and present weekly and monthly reports on architectural progress, challenges, and achievements

Technologies and Platforms:

  • Cloud (AWS, Azure)
  • Enterprise architecture
  • Software development
  • Infrastructure
  • Databases
  • DevOps practices
  • Microservices and containerization
  • Security and compliance
  • Data analytics and AI/ML
  • Mobile and web applications
  • Salesforce
  • Automotive
  • Captive finance

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 10+ years of progressive IT experience, with 7+ years in enterprise integration architecture
  • Proven ability to lead integration initiatives independently from concept to execution
  • iPaaS and integration tools
  • API design, management, and security (REST, SOAP, GraphQL, OAuth2, SAML)
  • Event-driven architecture (e.g., Kafka, Event Grid)
  • Messaging frameworks and ESB
  • Hands-on experience integrating microsites and headless CMS platforms
  • Strong experience integrating DataHub or similar metadata platforms
  • Deep understanding of CI/CD, cloud platforms (Azure, AWS), and microservices architecture
  • Extensive experience across multiple domains and technologies
  • Strong understanding of architectural principles and best practices
  • Experience in Salesforce, automotive, captive finance, and data analytics sectors is preferred
  • Excellent leadership, communication, and interpersonal skills
  • Proven ability to drive innovation and adopt new technologies
  • Strong analytical and problem-solving skills
  • Experience with containerization and orchestration
  • Experience with agile methodologies and DevOps practices is a plus
  • Relevant certifications are highly desirable

Key Competencies:

  • Strategic Thinking: Develop and implement long-term technology strategies
  • Leadership: Lead, mentor, and inspire a large team of architects
  • Communication: Convey complex technical concepts to non-technical stakeholders. Ability to bridge business requirements with technical execution
  • Innovation: Drive innovation and adopt new technologies
  • Collaboration: Work effectively with cross-functional teams
  • Problem-Solving: Address complex technical challenges
  • Background in highly regulated environments
  • Self-motivated and accountable; thrives in fast-paced, high-autonomy environments
  • 3+ years of big 4 consulting experience is preferred
  • A stable work history with large enterprise organizations

The hiring range for this position is $79.00 to $86.00 per hour, which factors in various geographic regions. The base pay rate actually offered will take into account internal equity and also may vary depending on the candidate s geographic region, job-related knowledge, skills, and experience among other factors.

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.