Hiring: Data & AI Architect – Databricks & AWS Company: Servsys Corporation Location: United States Job Posted Time: 2026-09-16 16:32:44 Employment Type: Remote Target Skills & Keywords : AWS, Agile, CI/CD, Data Warehouse, Databricks, Enterprise Architecture, Event-Driven, Kafka, Machine Learning, Microservices, Risk Management, SAP About the job Experience: •1-3 years of experience performing architecture, solution design, or technical leadership responsibilities. •5+ years of experience in information technology, data engineering, analytics, or related disciplines. •3 years of experience performing architecture, solution design, or technical leadership responsibilities. Required Skills: •Design and develop data, analytics, and AI architecture solutions that align with business requirements and enterprise standards. •Create and maintain conceptual, logical, and physical data models for operational and analytical systems. •Design data integration patterns, pipelines, APIs, and data movement strategies across enterprise platforms. •Partner cross-functionally with application, platform, and solution architects to ensure alignment with enterprise architecture guidelines. •Actively facilitate and support implementation of data lakes, data warehouses, lakehouse architectures, and analytical platforms. •Assist in establishing and enforcing data governance, data quality, metadata, and lifecycle management practices. •Evaluate new technologies, tools, and architectural patterns and provide recommendations for adoption. •Participate in architecture reviews and provide guidance to engineering teams during solution design and implementation. Qualifications: •Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent work experience. •Typically 5+ years of experience in information technology, data engineering, analytics, or related disciplines. •Hands-on experience designing and implementing enterprise data and analytics solutions. •Knowledge of AI/ML concepts and supporting data architectures. •Strong communication and stakeholder collaboration skills. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!