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# Solutions Architect

- **Company:** Insight Global
- **Location:** Lincolnshire, IL, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Database, Databases, Information Engineering, Data Governance, Data Infrastructure, Cloud Services, Data Ingestion, Snowflake, Data Lakes, Core Data, Data Management, Databricks
- **Published:** May 16, 2026
- **Apply:** https://www.juju.com/job/00000000fzssht

## About the Role

Required Qualifications (Must Haves)

 * Hands-on experience with Snowflake or Databricks (or a comparable modern cloud data platform)

 * Proven background in cloud-based data architecture (AWS preferred; Azure experience a plus)

 * Strong foundation in data engineering and analytics solutioning, not just infrastructure

 * Experience designing enterprise-scale data platforms, including ingestion, transformation, and reporting layers

 * Deep understanding of data governance, MDM, and how these influence platform architecture and design

 * Ability to explain and implement bronze/silver/gold data patterns and articulate their business value

 * Excellent communication and stakeholder management skills, with the ability to operate effectively from technical teams through executive leadership * Experience working in highly regulated environments

 * Exposure to AI/ML enablement through modern data platforms

 * Background in enterprise architecture or data product architecture

## Description

* Lead the end-to-end architecture and solutioning of a greenfield enterprise data platform serving as a single source of truth

 * Partner with business and technical stakeholders to translate ambiguous requirements into scalable, secure, cloud-based data solutions

 * Design and guide implementation of modern analytics architectures, including data lakes and lakehouse patterns (bronze/silver/gold)

 * Evaluate and help select the core data platform (e.g., Snowflake or Databricks) and supporting cloud services

 * Architect data ingestion and integration from multiple heterogeneous source systems (e.g., 15+ databases with varying architectures)

 * Ensure strong foundations in data governance, master data management (MDM), data quality, and security

 * Build and/or guide POCs to demonstrate business value and ROI

 * Act as a trusted advisor, communicating architectural decisions clearly to audiences ranging from engineers to VPs and CFOs

 * Collaborate with engineering, analytics, and business teams in a consultative solution architecture role

What Success Looks Like

 * Establishes a scalable, governed data foundation that enables reliable analytics and future AI use cases


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