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Data Architect in Glencoe, Illinois

Job in Glencoe, Cook County, Illinois, 60022, USA
Listing for: YASH TECHNOLOGIES
Full Time position
Listed on 2026-07-03
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Job Description & How to Apply Below
Position: Data Architect          at YASH TECHNOLOGIES        in        Glencoe,        Illinois
Location: Glencoe

Data Architect

Location:

Northbrook, IL

Duration: 6+ Months

This is a hybrid role with 3 days onsite (Tuesday, Wednesday, and Thursday).

Data Architecture & Design
  • Design modern Lakehouse structures using Delta Parquet formats and the Medallion architecture (Bronze/Silver/Gold).
  • Define enterprise data frameworks to unify siloed environments across ERP, CRM, and SaaS platforms.
  • Standardize canonical data models and eliminate conflicting data assets to establish a single source of truth.
  • Evaluate architectural trade-offs between Direct Lake vs. Import mode, and Lake houses vs. Warehouses.
Platform Engineering & Orchestration
  • Govern the Fabric environment, including capacities, tenant settings, security layers, and domain work spaces.
  • Architect end-to-end pipelines utilizing Fabric Data Factory, Dataflows Gen2, and automated Spark notebooks.
  • Optimize large-scale datasets through efficient partitioning, vacuuming, and Spark compute configuration.
  • Lead legacy migrations moving on-premises data warehouses to Azure and native Fabric structures.
Data Governance & Security
  • Implement compliance frameworks including RBAC, Row/Column-Level Security, and Microsoft Purview integration.
  • Establish data quality controls and automated anomaly detection patterns across the ingestion lifecycle.
  • Maintain shared semantic models to streamline high-performance Power BI reporting across the business.
  • Total

    Experience:

    10+ years in enterprise data architecture, analytics engineering, or BI platform leadership.
  • Fabric Deep-Dive: 2+ years of hands-on architectural experience specifically with Microsoft Fabric implementations.

Proven history of successfully modernizing legacy data estates into cloud architectures.

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