Data Solution Architect

Job Description This is a full‑time Data Solution Architect opportunity with a leading supply‑chain logistics organization headquartered in Oak Brook, IL. You’ll join their Enterprise Data Warehouse team and work with modern cloud data technologies including Snowflake, Databricks, streaming tools, and advanced ingestion and semantic modeling frameworks. This role is ideal for someone who wants to own end‑to‑end architecture for enterprise data platforms. You will define standards, design scalable solutions, guide engineering teams, and shape how data supports analytics, reporting, and AI across the business. If you enjoy technical leadership, cloud‑first architecture, and building modern data ecosystems, this offers strong growth and impact. This is a full‑time hybrid position in Oak Brook, Illinois.

Required Skills & Experience

7+ years in data architecture or data engineering

Cloud platform expertise (Azure, AWS, or GCP)

Snowflake and Databricks experience

Strong SQL and Python

Advanced data modeling (Data Vault 2.0)

ETL/ELT, APIs, streaming (dbt, Coalesce, SSIS, Datastage, Kafka, Spark)

Data governance, security, compliance knowledge

Desired Skills & Experience

Cloud or data engineering certifications (SnowPro, etc.)

Strong communication and stakeholder engagement

Daily Responsibilities

40% Hands On

30% Leadership

30% Team Collaboration

The Offer

Bonus eligible

Medical insurance

Dental benefits

Vision benefits

PTO

401(k) with match if applicable

Applicants must be currently authorized to work in the US on a full‑time basis now and in the future.

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