Lead Data Architect

Glint Tech Solutions • Chicago, IL

2d • Hybrid

About The Position

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.

Requirements

• 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 Haves

• Elasticsearch
• Docker, Kubernetes
• Azure/Databricks certification
• Strong stakeholder communication, mentoring, and delivery tracking
• CS/Data Science academic background

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed