Enterprise Solutions Architect

Job Description
For our Global Services & Data Platform Division, we are looking for a seasoned Enterprise Solutions Architect who has mastered Cloud solutions architectures, patterns, and various tech stacks, who could:

• 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 lead/expert addressing requirements/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 Architecture Review and Approval processes.
• Work with application delivery teams in the development of services, reusable patterns, components, standards, and frameworks required to support the 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 meet quality standards.
• Assist with analyzing and recommending software acquisitions, 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.

What will this person be working on
The candidate will primarily work on Projects & Initiatives to deliver Enterprise Architecture Diagrams, Solution Architecture Documents, and Design Patterns for data platforms & product scope and requirements, delivering ARB deliverables and obtaining approvals from the Enterprise Architecture Review Board.

Top 5 Skills:

• Ability to translate technical concepts into business value and business requirements into technical capabilities, manage expectations, and collaborate effectively across business and technical teams.
• Experience with cloud platforms (preferably AWS), cloud-native architecture, and cloud services related to data (e.g., serverless services, scalable compute & storage, data lakes, cloud databases, data warehouses, etc.).
• 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.
• Experience in architecting & delivering transactional and analytical solutions, including ML and AI solutions using waterfall and agile methodologies (preferably SAFe).
• Excellent articulation, documentation, presentation, and communication skills exercised in preparing solution architecture diagrams, documents, and engaging enterprise architecture teams for reviews/approvals.

Qualifications/Experience Expectations:

• BA/BS in information technology, computer science, 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 of relational and no-sql database architecture and design.
• 5 years of graph database familiarity and solution design.
• demonstrates a strong technical aptitude for 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 of 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.