Lead Data Engineer / Data Architect

• Design and own enterprise data architecture supporting high-volume retail eCommerce operations
• Build and maintain ETL/ELT pipelines using Azure Data Factory, Synapse Analytics, and Databricks/pySpark
• Design conceptual, logical, and physical data models for efficient data storage and retrieval
• Implement data warehousing solutions - dimensional modeling, star schemas, Data Mesh, Delta Lakehouse, Data Vault
• Lead database migrations and microservices migration to unified cloud-native solutions
• Integrate data from databases, APIs, and external providers via API integration and message queuing
• Embed metadata and governance processes into cloud-based data platforms
• Lead and mentor cross-functional engineering teams while driving technical strategy and stakeholder communications

• 8+ years overall experience with 1+ year in an Architect-level role
• 3+ years of strong hands-on Azure Data Factory and Azure Synapse Analytics experience
• Deep Microsoft Azure expertise - Data Lake Storage, Databricks, pySpark, Cosmos DB, PostgreSQL
• Strong SQL proficiency for complex queries, transformations, and cloud performance tuning
• Experience with Azure MI, Cosmos DB, Analysis Services, and Informix
• Proficiency in Python and Python-based ETL tools
• Shell scripting experience - Bash, Unix, or Windows
• Proven ability to lead teams, define technical strategy, and communicate across all organizational levels

Nice-to-Have Skills

• Elasticsearch experience
• Docker and Kubernetes familiarity
• Performance tuning and pipeline optimization expertise
• Azure, Databricks, or relevant cloud certifications

Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada.