Top Data Architect Jobs in Chicago, IL

Design and deliver Databricks-centric data architectures, lead pre-sales and billable engagements, build end-to-end data engineering pipelines for AI/ML and BI, mentor teams, ensure data governance/security/quality, and resolve data system issues while producing solution documentation and presentations.

As a Salesforce Technical Architect focused on Data & AI, you'll design and implement solutions using Salesforce Data 360, oversee technical projects, collaborate with various stakeholders, and mentor junior staff to drive AI innovations.

The Data Architect will design data architecture, drive strategy for data warehousing, oversee reporting projects, and mentor the team while ensuring compliance with standards.

Lead the data team in building a data vault and warehouse on Snowflake, manage tasks, and ensure quality data through sprint cycles.

The Data Architect will shape the data architecture and reporting strategy, ensuring data governance and developing scalable data solutions on Azure services.

Design, develop, and implement scalable data and analytics solutions. Lead data modeling, ETL, warehousing, BI implementations, and performance optimization. Engage with clients for requirements, presales scoping, and deliver thought leadership. Mentor project teams and drive platform and process improvements across multiple Azure/GCP/AWS engagements.

Design and lead Big Data architecture and implementations; gather requirements; create functional and technical designs; lead technical teams and client interactions; work with Big Data technologies (Kafka preferred) and data warehousing; communicate complex concepts and deliver presentations to stakeholders.

Design and lead architecture, implementation and optimization of big data platforms and data-warehousing/BI solutions using Hadoop ecosystem (MapReduce, Hive, Spark, HBase, Flume, Sqoop). Lead technical teams, deliver POCs, performance tuning, troubleshooting, and client-facing architectural leadership on Cloudera/Hortonworks/MapR deployments.

The Data and Reporting Architect will lead the design of data architectures and reporting systems, addressing complex data challenges and ensuring compliance with regulatory standards. Responsibilities include mentoring engineers, defining data quality frameworks, and collaborating with various teams to implement scalable solutions.

Lead customer-facing data engineering and warehousing initiatives on the Databricks platform. Architect and optimize production-scale ETL/ELT pipelines, performance-test workloads, migrate legacy systems to cloud lakehouse architectures, support Solution Architects in technical sales, and provide training, demos, and community contributions.

The Data Solutions Architect at MANSCAPED will manage the enterprise data architecture, ensure security and scalability, and support BI reporting and advanced analytics.

Design and implement scalable Azure-based data architectures and analytics solutions, lead delivery teams, support pre-sales, drive DevOps/CI-CD, mentor junior staff, define data strategy, governance, migrations, and oversee project delivery and backlog management.

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

Lead design and implementation of enterprise data architecture and process-engineered data workflows. Drive integration, modeling, ETL/ELT, governance, compliance (GDPR/HIPAA), cloud solutions, and mentor teams while evaluating emerging tools and automation opportunities.

Design and architect large-scale distributed data solutions using Spark and Cloudera CDH. Build and optimize ETL pipelines, ensure data integrity/security, troubleshoot performance, and implement version control and CI/CD for Spark applications while collaborating with data scientists and stakeholders.

Design and architect large-scale distributed big data solutions using Java, Spark, and Scala. Build and optimize ETL pipelines and Spark applications on the Cloudera Hadoop ecosystem (HDFS, Hive, Impala, HBase, Kafka). Ensure data integrity, performance tuning, CI/CD for Spark apps, and collaborate with data scientists and analysts to deliver analytics solutions.

Design and architect large-scale distributed big data solutions. Develop, test, and deploy Spark/Scala applications, build ETL pipelines with Cloudera Hadoop components, optimize Spark and platform performance, ensure data integrity and security, and implement version control and CI/CD for data processing workflows while collaborating with data scientists and analysts.

Client-facing solution architect leading Azure data platform pre-sales: discovery, solution design, scoping, and SOW/proposal development. Architect modern data platforms (Fabric, Synapse, Databricks, ADLS), integration/orchestration (ADF, pipelines, CDC), data modeling, governance, security, and AI/GenAI enablement. Partner with sales and Microsoft for co-sell pursuits, lead workshops, and guide delivery teams to implement governed, production-grade data foundations that enable analytics and responsible AI at scale.

Senior hands-on tech lead/solution architect for Banking & Capital Markets driving client relationships, solution design, proposals, and delivery of data modernization, streaming, and cloud-based data platforms. Leads cross-functional teams, mentors staff, supports revenue growth through upsell/cross-sell, and provides industry thought leadership and technical strategy.

The Data & Analytics Architect will design and implement analytics solutions, support client engagements, and lead data architecture projects, requiring extensive technical and consulting skills.

Design and deliver scalable Power BI data models, dashboards, and reporting solutions. Collaborate with stakeholders, establish visualization governance and best practices, prototype solutions, and own projects end-to-end to enable data-driven decisions across healthcare teams.

Serve as the technical authority for the Enterprise Data Platform, defining enterprise data architecture, canonical data and semantic models, externalization and API principles, and AI/knowledge-graph ready designs. Lead solution architecture, govern semantic layers and Collibra integration, chair architecture reviews, shape technology roadmap, and partner with platform and trust teams to ensure consistent, governed data products across delivery teams.

Architect and deploy scalable Inventa data-management solutions, lead complex enterprise integrations (APIs, on-prem, cloud, SaaS, data lakes), resolve architectural performance and access issues, create global architecture guides and documentation, and feed product improvements through field insights. Customer-facing, cross-functional collaboration with Sales, Customer Success, and Product.

Design, support, and improve data analytics solutions (OAC and Power BI). Manage data ingestion, ETL, data quality, access, and documentation. Liaise with stakeholders, migrate dashboards from OAC to Power BI, and follow SDLC and project management practices.

The role involves acting as a subject matter expert in Data and AI, providing technical expertise during sales processes for Azure-based solutions, and mentoring team members to enhance client experiences.