Top Tech Jobs & Startup Jobs in Chicago, IL

Configure and implement Informatica IDMC MDM solutions across customer, product, and supplier domains. Responsibilities include data modeling, match and merge logic, survivorship, golden records, hierarchies, data quality, governance, stewardship workflows, user access, testing, deployment, documentation, and production support. The role collaborates with business, governance, integration, and data engineering teams to deliver trusted enterprise master data.

Configure and implement Informatica IDMC MDM solutions for customer, product, and supplier domains. Responsibilities include data modeling, match and merge rules, survivorship, golden records, hierarchies, data quality, stewardship workflows, governance, duplicate management, testing, deployment, documentation, and production support. The role collaborates with business stakeholders, data governance teams, architects, integration teams, and data stewards to deliver trusted, governed enterprise master data.

Leads Databricks architecture strategy, client workshops, proofs of value, demos, migrations, technical scoping, and strategic delivery engagements. Designs Lakehouse and medallion architectures, estimates DBU consumption, develops reusable accelerators, mentors delivery teams, supports certifications, and provides product feedback. Requires deep Databricks, data architecture, migration, agentic AI, and consulting experience, with expertise across AWS, Azure, or GCP.

Leads the end-to-end delivery of large, global Adobe Experience Platform programs, owning client relationships, budget, margin, scope, schedule, quality, risk, resourcing, governance, and program health. Coordinates cross-functional teams across regions and time zones, incorporates regulatory validation, security, data residency, audit traceability, and release requirements into delivery plans, and ensures work converges on committed dates. Coaches delivery leaders, supports business development, and applies AI within compliance constraints.

Leads large, global Adobe experience platform programs from mobilization through support, owning client relationships, delivery, financials, resourcing, governance, risk, quality, compliance, and program health. Coordinates distributed teams and discipline leads around committed dates, incorporates regulatory validation and data-residency requirements, and manages Adobe technologies including AEM Cloud Service and Edge Delivery Services. Coaches delivery talent, supports business development, and applies AI within client compliance constraints.

Leads data architecture consulting engagements, presales pursuits, client workshops, solution design, platform integration, proof-of-concept development, implementation roadmaps, and globally distributed teams. The role requires expertise in data management, governance, modeling, cloud platforms, data warehouses and lakehouses, legacy modernization, and communicating complex architectures to executive and technical audiences. Travel up to 25% or more may be required.

Lead complex pre-sales solution architecture engagements from discovery through proof of concept and delivery-ready scoping. Translate client needs into architectures, estimates, staffing plans, business cases, and SOWs. Own sales targets and pipelines, develop repeatable offerings and practice intellectual property, maintain partner relationships, mentor junior architects, and ensure delivery fidelity. Apply AI tools to accelerate pre-sales workflows while providing thought leadership across Salesforce, commerce, customer experience, and agentic AI solutions.

Leads strategic pre-sales technical cycles, including discovery, solution architecture, proof-of-concepts, TCO modeling, estimates, SOWs, and executive presentations. Owns a sales target and pipeline while remaining lightly billable on shaped deals. Productizes repeatable offerings, develops practice IP, manages partner relationships, mentors architects, applies AI to pre-sales workflows, and ensures delivery fidelity from solution design through implementation.

Leads complex pre-sales technical engagements, including discovery, solution architecture, proof-of-concepts, TCO modeling, estimates, SOWs, and executive presentations. Owns a sales target and pipeline while ensuring solutions transition effectively into delivery. Productizes repeatable offerings, develops practice intellectual property, manages partner relationships, mentors architects, applies AI to pre-sales workflows, and provides thought leadership across Perficient’s Google partner ecosystem.

Owns client narratives from discovery through proof of concept, translating business problems into scoped technical solutions. Leads solution design workshops, architecture reviews, RFP responses, estimates, staffing plans, demos, and partner conversations. Carries revenue accountability, supports co-selling, ensures delivery fidelity, develops reusable practice assets, mentors consultants, and builds long-term client relationships. The role requires hands-on technical delivery experience, consulting expertise, AI fluency, partner ecosystem knowledge, and travel flexibility.