Top Data Architect Jobs in Chicago, IL

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead design and governance of enterprise-scale data architecture (warehouses, lakehouses, streaming). Define standards for data quality, lineage, observability, and AI-enabled workflows. Mentor engineers, serve as technical escalation, and translate business needs into long-term data architecture and governance strategies.

The Data Architect will design business data models, define data architecture frameworks, mentor teams, and enhance data governance across AI and data initiatives.

Lead Data Architects at CapTech develop data delivery strategies aligning with business goals, manage teams, and enhance data use while advocating modern data technologies and governance best practices.

Design, architect, and implement enterprise data integration solutions across cloud and on‑prem platforms using MuleSoft, Kafka, APIs, and IaC. Define data models, governance, security standards, CI/CD pipelines, and optimize infrastructure. Mentor teams, supervise two engineers, estimate projects, and ensure compliance with privacy/security requirements while integrating tools like Checkmarx, Noname, and secrets management.

Lead architecture and modernization of Channels Data Platforms, migrating legacy on‑prem and mainframe systems to cloud native stacks (Azure, Databricks, Snowflake, Kafka). Define target architecture, roadmaps, operating models, NFRs, CI/CD, IaC, observability, and governance. Provide technical oversight for Payment Tracker, mentor engineers, run R&D/POCs, and deliver enterprise alignment in a regulated environment.

Lead design and delivery of scalable data infrastructure and pipelines for PwC Tax practice. Oversee data integration, transformation, validation, security, and compliance; drive innovation, client relationships, business development, mentorship, and strategic direction across multiple projects.

Design and recommend end-to-end data architecture solutions across on-premises and cloud environments. Assess current-state gaps, define future-state architectures, optimize data ingestion, storage, modeling, and delivery, and guide governance, real-time distribution, and tooling choices while mentoring staff and supporting business development.

Design and lead cloud-native data architectures and end-to-end ELT/ETL pipelines across major cloud platforms. Build and optimize data lakes/warehouses, enforce data security and governance, implement IaC and CI/CD, conduct data profiling, and advise clients on AI/ML integration while mentoring delivery teams.

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.

The Salesforce Data Architect will lead complex data migration initiatives, ensuring data quality and governance while collaborating with stakeholders to implement scalable Salesforce solutions.

Lead design and governance of a large-scale AdTech data layer: model conceptual/logical/physical schemas, profile and map data flows, define batch and real-time ingestion and integration patterns, architect cloud-native AWS solutions (including graph/vector/RAG use cases), establish governance, and produce architecture artifacts and implementation roadmaps while collaborating with engineering, product, and cloud teams.

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.

Lead the architecture and implementation of enterprise-scale Azure data and AI platforms, including data lakes, lakehouses, warehouses, integrations, machine learning, and generative AI solutions. Establish governance, security, MLOps, and AI frameworks; guide cloud modernization, migration, performance, and cost optimization. Translate business needs into technical architectures, present recommendations to executives, lead architecture reviews, support client pursuits, and mentor engineering teams.

Design and advance enterprise data and BI architecture: optimize OLTP/OLAP models, establish modeling/integration/governance standards, lead POCs, mentor teams, enable AI/ML, and guide cross-functional implementation from concept to production.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.

Lead design, implementation, and operation of a scalable, secure cloud data platform (data lake/warehouse/lakehouse). Build data pipelines, migrations, archival, IaC provisioning, CDC-enabled ingestion, governance, multi-tenant security, DR/HA, and performance optimization to support reporting, analytics, and AI/ML for a federal judiciary modernization program.

Lead enterprise data architecture across multiple SaaS products by unifying reporting platforms, data models, and analytics capabilities. Assess current systems, define target-state architecture, establish data governance and quality standards, separate analytical workloads from transactional systems, and develop phased migration roadmaps. Guide database, engineering, and BI teams on cloud platforms, integration, modeling, performance, security, and reliability. Enable trusted cross-product reporting, governed self-service analytics, and data foundations for AI and advanced analytics.

Design and architect robust ETL/data pipelines on cloud platforms. Build and automate data ingestion and preprocessing using Spark/Databricks, AWS Glue, Airflow. Implement warehousing architectures (EDW, DM, ODS, MOLAP/ROLAP), ensure SQL-based data quality, use version control, and deliver tested production pipelines while communicating with stakeholders.

Serve as a senior advisor on enterprise data architecture and Adobe Experience Platform. Lead client discovery, design XDM schemas and identity resolution, guide data ingestion/ETL, governance, and Customer 360 initiatives. Provide technical leadership, mentor teams, review architecture, and contribute templates and best practices across consulting engagements.

Design and govern end-to-end data architecture for an integrated supply-chain e-commerce platform: create data models, build scalable ETL/ELT pipelines, ensure GDPR-compliant data governance, enable real-time analytics, optimize databases, plan retention/archival, and prepare data for LLM fine-tuning and RAG use cases.

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

Lead database design, data modeling, schema evolution, migrations, and ETL/ELT pipelines across MySQL, PostgreSQL, and Google Cloud databases. Build streaming and batch ingestion, enable CI/CD for data deployments, troubleshoot pipelines, produce runbooks, and mentor/lead offshore DB/ETL engineers while collaborating with onshore architects.

Lead architect to design and implement large-scale, distributed big data solutions using Java and Big Data technologies. Hands-on with Java 1.8+, Apache Spark, MapReduce, Hadoop/Cloudera, Hive, Impala, YARN, and Kafka. Perform data analysis, design scalable architectures, enforce testing (JUnit), and optionally use Unix/Python scripting. Manage global technology teams, apply industry best practices, and communicate effectively across stakeholders.

Design and govern enterprise data architectures within the Informatica ecosystem. Lead data modeling, ETL/integration using Informatica tools, enforce data quality and governance, optimize performance, manage metadata and lineage, collaborate with stakeholders, document solutions, and train teams.