About this opportunity
Glint Tech Solutions lists this Lead Data Engineer / Data Architect opportunity in charlotte, North Carolina. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Lead Data Engineer / Data Architect
Location: Chicago, IL | Quincy, MA | Salisbury, NC
Company Overview
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.
Project Description
Our client, a major US retail organization, is modernizing their enterprise eCommerce platform serving millions of weekly omnichannel customers. The Lead Data Architect will own enterprise data architecture strategy, driving scalable platform design across re-architecture, database migrations, and cloud-native microservices migration — all with zero business disruption. Availability until 8:00 PM CET is required; no overtime expected.
Key Responsibilities
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
Mandatory Skills
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
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Worksite address
charlotte, NC, 28245, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.