Lead Data Architect

Glint Tech Solutions • Professional Services • Recruiting & Staffing • Python • SQL • Bash • ETL/ELT • Azure Data Factory • Data Vault • 3 days ago
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Salary
≈ $116k – $230k per year (Estimated)
Location
Hybrid (Chicago, United States)
Seniority
Architect · 8+ years exp

Confirmed on the employer's own hiring board on Oct 11, 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

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
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