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Lead Data Architect

Glint Tech Solutions · Chicago, United States · Hybrid

  • Staffing & Recruiting
  • 11–50 employees

Weak hiring record · median 72 days open

7878

Hiring signal

Open

Still listed on the employer's own board · How we score

All reasons
  • Open 55 days
  • 58% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Lead Data Architect at Glint Tech Solutions. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

Skills

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