Lead Data Architect

About the role

Job Title: Lead Data Architect Location: Chicago, IL (Hybrid – 2-3 days onsite) Company Overview Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada. Project Description Modernization and development of an eCommerce platform for a leading enterprise retail client serving millions of omnichannel customers weekly. Work spans Customer, Loyalty, Search & Browse, Data Integration, and Cart domains, with current focus on brand onboarding, re-architecture, database migrations, and cloud-native consolidation. Key Responsibilities Design data architecture to support large-scale data processing Integrate new solutions with existing enterprise architecture Lead cross-functional teams and define technical/architectural strategy Mandatory Skills 8+ years overall experience, minimum 1 year in a Lead/Architect role 3+ years recent hands-on Azure Data Factory & Synapse experience Data modeling: conceptual, logical, physical Azure Data Lake Storage, Synapse Analytics, Databricks, PySpark ETL/ELT pipeline development and multi-source data integration Data warehousing patterns: star schema, Data Mesh, Lakehouse, Data Vault Advanced SQL (querying, transformation, performance tuning) Metadata and governance integration Python / Python ETL tools Shell scripting (Bash/Unix/Windows) preferred Nice-to-Have Skills Elasticsearch Docker, Kubernetes Azure/Databricks certification Strong stakeholder communication, mentoring, and delivery tracking CS/Data Science academic background