Data Solutions / AI Architect

Key Responsibilities:Serve as the lead Solutions Architect and AI Architect for enterprise data platforms.Design and implement data warehouse architectures to support reporting, analytics, and AI workloads.Develop and optimize Azure ETL pipelines using Azure-native tools and Databricks.Design and maintain logical and physical data models using dimensional modeling techniques.Build and optimize PL/SQL packages and tune databases for high-performance workloads.Translate complex business requirements into scalable technical solutions.Ensure high data quality through profiling, cleansing, auditing, and validation processes.Lead QA efforts including unit, system, and integration testing.Partner with Business Analysts to produce functional and technical specifications.Produce clear system documentation and user-facing materials.Provide guidance on cloud data architecture and AI enablement best practices.Required Skills / Education:Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).3+ years of experience with Azure data services and ETL processing.3+ years of experience with data warehousing methodologies and architecture.Strong expertise with Azure Databricks.Hands-on experience writing and optimizing PL/SQL.Proficiency in data modeling (logical and physical).Strong understanding of dimensional modeling techniques.Experience with database performance tuning and query optimization.Solid understanding of full SDLC in data and analytics environments.Excellent written and verbal communication skills.Consulting experience in Agile environments preferred.Familiarity with enabling data platforms for AI, analytics, and machine learning

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