Architecture / architect

Architect - Data Experience: 13+ Years to work at the client place in Chicago, Key Responsibilities. We are seeking an experienced Architect - Data with 13+ years of experience in designing and delivering enterprise-scale cloud data platforms. The ideal candidate should possess strong hands-on expertise in AWS, Databricks, and PySpark, ETL, DLT with the ability to lead technical solutioning, mentor engineering teams, and collaborate with client stakeholders to deliver scalable, secure, and high-performance data solutions. Drive architecture discussions, solution design, and technical strategy with stakeholders and clients. Collaborate with cross-functional teams to deliver AI-driven products and platforms. Design and implement enterprise-scale data platform solutions using AWS, Databricks, and PySpark. Ensure best practices in AI/ML architecture, integration, security, and scalability. Define architecture, coding standards, and best practices for data engineering solutions. Collaborate with Product Managers, Engineering Managers, Scrum Masters, and Technical Leads to achieve sprint and milestone commitments. Lead architecture discussions, technical design reviews, and solution walkthroughs with client stakeholders. Ensure compliance with enterprise security, governance, and data management standards.Mentor engineers and promote engineering excellence across the project. Strong hands-on, experience in AWS, Databricks, PySpark, ETL, and Delta Live Tables (DLT). Good understanding of modern data lakehouse architecture. Experience in data modeling, orchestration, and pipeline optimization.Experience in Agile delivery and team leadership. AWS, Databricks Architect, TOGAF Certification, Experience working with global banking clients such as JPMC, Citi, Wells Fargo, or similar.