Lead Data Engineer / Data Architect

Glint Tech Solutions • Professional Services • Recruiting & Staffing • Python • SQL • Bash • ETL/ELT • Azure Data Factory • Data Vault • Dimensional Modeling • 2 days ago

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Salary

≈ $108k – $214k per year (Estimated)

Location

In office (Charlotte)

Seniority

Architect · 8+ years exp

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 7, 2026.

Overview

Company

Impact

Profile match

Glint Tech Solutions

Glint Tech Solutions is a women-owned IT staffing and recruiting firm that sources contract and direct-hire talent for enterprise clients, alongside an AI hiring product it markets as Glinto AI. Its postings cover client projects across the United States and Canada, from New York, Sunnyvale, Santa Clara and Reston to Toronto, and some defense roles require an active DoD Secret clearance. Open positions are mostly placements at client companies, including software and DevOps engineers, embedded and field application engineers, product managers, data center cooling sales staff and regulatory reporting analysts.

glinttechsolutions.com • New York • San Francisco • Chicago • Washington • Noida • IT Staffing & Staff Augmentation

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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