Job description

Job Title : Azure Data Architect Location : Blue Ash, Ohio | Indianapolis, Indiana | Phoenix, Arizona | Hartford, Connecticut | Raleigh, North Carolina | Richardson, Texas ( Onsite) Job Type : Full-time Required Qualifications: • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • At least 11 years of experience with Information Technology. • Proven years of hands-on experience in architecting solutions on Azure, Databricks and Spark • Proficiency in data engineering tools: Spark, Kafka, Airflow, SQL, Python. • Strong understanding of retail or CPG data domains • Familiarity with vector search and semantic retrieval for retail use cases. • Expertise in data privacy and compliance in consumer-facing environments • Good experience in end-to-end implementation of data warehouse and data marts • Strong understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design • Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, Azure Pipelines, and Jenkins • Experience designing and implementing complex solutions for distributed systems • Experience in leading and mentoring teams Preferred Qualifications: • Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data • Familiarity with log and monitoring solutions • Experience in utilizing development containers, unit testing/code quality review/linting - standard best practice • Good understanding of Agile software development frameworks • Strong communication and Analytical skills • Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams • Experience and desire to work in a global delivery environment • Experience with Generative AI frameworks: OpenAI, Hugging Face, LangChain • Knowledge of Model Context Protocol (MCP) or similar AI integration standards. • Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads

Requirements