Cloud Platform Architect

Job Tittle – IT Technology Architect (Cloud Platform | Microservices) Location: Austin, TX Experience Required: 9+ Years Mandatory Skills: SQL, Python Role Overview: We are seeking an experienced IT Technology Architect with strong expertise in Cloud Platforms, Microservices, SQL, and Python. The ideal candidate will support enterprise data strategy, perform in-depth data analysis, translate business requirements into technical solutions, and collaborate with cross-functional teams to drive data-driven decision-making. Key Responsibilities: • Perform detailed analysis of enterprise data to identify trends, patterns, and actionable insights. • Partner with stakeholders to identify and define data use cases aligned with business priorities. • Translate business requirements into technical specifications, analytical models, and actionable deliverables. • Conduct impact assessments by comparing current-state vs. future-state architecture, identifying data or process gaps, and recommending mitigation strategies. Technical Expectations: • Advanced proficiency in SQL, including writing complex queries, performance tuning, and managing large datasets. • Strong experience in Python scripting for automation, data manipulation, and analytics workflows. • Expertise in statistical analysis, data visualization, and predictive modeling using libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn. • Understanding of data architecture, data governance principles, and enterprise data management best practices. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. • 9+ years of experience in data analysis, business intelligence, or related technical roles. • Proven track record of working with cross-functional teams and converting business needs into scalable technical solutions. • Strong communication, stakeholder management, and presentation skills. Additional Responsibilities: • Serve as the Delivery Anchor responsible for tracking sourcing metrics, technical evaluations, interviews, and feedback.