Top Data Architect Jobs in Chicago, IL

As a Principal Data Architect, you'll lead AI-native data transformations using GCP, design AI architectures, modernize legacy systems, and collaborate with clients.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

Lead as a Principal Data Architect in a complex hybrid ecosystem, focusing on data movement, enrichment, and orchestration while promoting best practices and innovation across the organization.

The Data Architect role involves defining data models, ensuring data integration and governance, and collaborating with teams to support analytics capabilities.

The Data Architect will design and implement a robust data warehouse and reporting platform on Azure, ensuring data quality and governance while modernizing the existing systems.

The Principal Data Architect will design and oversee the enterprise data architecture, ensuring effective modeling, integration, governance, and consumption of data across the organization. Responsibilities include building data models, implementing lakehouse strategies, and partnering with multiple teams for the evolution of data practices.

The Senior Data Architect designs and implements data architecture solutions, leveraging modern platforms and methodologies to enhance data management, modeling, and integration across applications and stakeholders.

The Senior Data Architect will design and manage data architectures using Databricks and cloud technologies, ensuring efficient integration and governance while leading technical discussions with stakeholders.

The GTM Data Architect manages the end-to-end data strategy, ensuring data orchestration, governance, and integration across the GTM organization to enhance decision-making and operational efficiency.

The role involves partnering with Global GSIs to create and enable services, providing technical leadership, and driving sales pipelines through strong relationship management and technical expertise.

The Principal Solutions Architect will develop Hybrid Infrastructure solutions, mentor teams, maintain strategic relationships, and support consultative sales efforts within healthcare.

The Enterprise Data Architect will design and lead AmeriLife's data architecture, creating scalable data models and data mapping standards for analytics and AI workloads.

The Information/Data Architect will develop data architecture strategies, apply metadata models, define data standards, and support enterprise information initiatives.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

The Principal Data Architect will design and implement complex cloud-based data solutions, oversee data standards, and guide technical teams while maintaining client roadmaps.

The Senior Data Architect will own architectural direction for large data platforms, ensuring scalability and security while leading modernization efforts and communicating with stakeholders.

The Data Architect/Data Governance Lead supports the Medicaid Enterprise Data Warehouse by leading data architecture, metadata management, and governance processes, ensuring compliance and scalability.

Support to evaluate and implement scalable data infrastructure. Work with technical teams to optimize data delivery and build reliable data systems. Expertise in data modeling, integration patterns, and data quality assurance is essential.

The Senior Data Solutions Architect designs data solutions to align with business strategy and architecture, ensuring data integration and governance across enterprise platforms.

The Cloud Data Architect ensures telemetry in cloud environments meets cybersecurity needs, manages logging, and supports governance and compliance functions.

The Senior Solution Architect will design and develop solutions using the Microsoft Azure data stack, collaborating with sales teams, and supporting pre-sales activities while mentoring peers.

The Principal Data Architect will establish data architecture standards, lead the creation of a cohesive data ecosystem, and collaborate with teams to ensure data governance and quality while supporting various data models and analytics operations.

The Success Architect will engage with strategic customers to optimize technical architecture and solutions using Agentforce and Data Cloud, while enhancing customer success through personal collaboration and data expertise.

Design and optimize data architectures using Snowflake and Databricks, manage ETL workflows with dbt, develop cloud-native data pipelines, and implement machine learning infrastructure and data governance best practices.

The Data Architect will unify data architecture across multiple SaaS products, optimize data storage solutions, mentor engineers, and drive strategic data initiatives for performance and efficiency.