Top Tech Jobs & Startup Jobs in Chicago, IL

Designs modern enterprise data architectures aligned with client business goals. Leads data integration, governance, quality, storage, modeling, and delivery strategies across cloud and on-premises environments. Evaluates architectural options, advises executives, leads engineering teams, mentors talent, drives emerging technology adoption, and supports consulting business development through solution design and work estimation.

Partner with clients to deliver Salesforce solutions across the software development lifecycle using Agile methodologies. Lead technical design sessions, architect and document solutions, manage custom development, integrations, and data migrations, and provide expert guidance to developers. The role also involves managing technical scope and client expectations, optimizing business processes, demonstrating technical leadership, and supporting Salesforce implementations across varied clients and industries.

The Lead Machine Learning Engineer at CapTech designs and implements scalable machine learning systems, collaborates with teams, and provides technical leadership while optimizing enterprise data-driven solutions.

The Machine Learning Engineer designs and implements data-driven solutions, develops scalable ML systems, analyzes datasets, and leads client collaborations.

Lead data strategy and delivery for clients: translate business needs into data architectures, assess and recommend data management technologies, drive data governance and quality, mentor teams, scope cloud and on-prem solutions, and support business development and client engagements.

Design, build, and maintain cloud-based data pipelines and data products across AWS, Azure, or GCP. Advise clients on cloud data architectures, implement production data solutions, and collaborate with users, developers, and analysts to maximize data value.

Lead design and implementation of cloud-based data pipelines and architectures. Advise clients on best practices, build/operate distributed ingestion and processing systems, mentor engineers, and collaborate with stakeholders to deliver scalable data warehousing and lake solutions using modern cloud technologies.

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.