Cloud Architect

Our client is a leader in the Automotive Industry and seeking a Cloud Architect for a long term, Multi-Year Assignment.

This role is hybrid with 2-3 days/week onsite in Torrance, CA.

This Architect will primarily work on Projects & Initiatives to deliver Solution Architectures and Design Patterns for data platforms & product scope and requirements, delivering ARB deliverables and obtaining approvals from the Enterprise Architecture Review Board.

• Drive business and IT alignment to design and leverage reusable cloud architecture solutions.
• Collaborate with IT management to define and develop technology strategy, technology standards, capabilities, roadmaps, and practices.
• Act as a technical expert addressing problems relating to systems storage, compute, integration, compatibility, and multiple platform integration with P/SaaS solutions using WAF principles and industry best practices.
• Interact and consult with appropriate business analysts, project managers, infrastructure engineers and developers to understand application/project requirements and define architectural solutions to meet those requirements.
• Work with the enterprise solutions stakeholders on design review and approval processes.
• Work with application delivery teams in the development of services, reusable patterns, components, standards, and frameworks required to support client's business strategy.
• Produce architecture diagrams, workflows and models using Visio, Draw.io, and other tools.
• Evaluate technology solutions, services, and vendor offerings through RFP/Q/I & SOW process
• Ensure that projects follow the prescribed development life cycle and meets quality standards.
• Assist with analyzing and recommending software acquisitions and alternative solutions/methodologies/strategies and tools.
• Keep current with trends and technological innovations in the automotive industry and make appropriate development recommendations.
• Identify risks associated with architecture design, delivery, component, or application implementation.

Top 5 Skills :

1. Ability to translate technical concepts into business value and business requirements into technical capabilities, manage expectations, and collaborate effectively across business and technical teams.
2. Experience with cloud platforms (preferably AWS, Azure/GCP), cloud-native architecture, and cloud services related to data (e.g., serverless services, scalable compute & storage, data lakes, cloud databases, data warehouses, etc.).
3. Expertise in designing APIs and data integration platforms (ETL/ELT tools), microservices, data mesh, data fabric, and streaming, middleware to enable seamless data flow between systems while practicing data governance and security.
4. Experience in architecting & delivering transactional and analytical solutions including ML and AI solutions using waterfall and agile methodologies (preferably SAFe).
5. Excellent articulation, documentation, presentation, and communication skills exercised in preparing solution architecture diagrams, documents, and engaging enterprise architecture teams for reviews/approvals.

• BA/BS in information technology, computer science, mis or related field or equivalent work experience.
• 15 years of experience designing or configuring complex enterprise grade cloud & big data systems and/or applications.
• 10 years relational & no-sql database architecture and design.
• demonstrates a strong technical aptitude of multi‐tier and cross‐platform architectures across the enterprise
• in‐depth knowledge of design requirements.
• strong ability to define systems and integration models.
• strong ability to act as a technical expert addressing problems relating to systems integration, compatibility, and multiple platform integration.
• strong understanding in the information technology landscape ‐ stretching from infrastructure, network, client, server, emerging technology standards and trends.
• strong understanding and working knowledge of software engineering, software development, solution architecture and implementation of medium to large scale systems across multiple platforms.