Top Tech Jobs & Startup Jobs

Leads the integration workstream for an Informatica SaaS MDM implementation. Designs, develops, tests, deploys, monitors, and troubleshoots batch, real-time, API-based, and event-driven integrations. Defines architecture and development standards, manages mappings and reconciliation, collaborates with business and data teams, and ensures governance and security compliance. Provides technical leadership, code reviews, mentoring, work allocation, and quality oversight for offshore developers while supporting Agile planning, deployment, and hypercare.

Leads hands-on software development within an AI-focused pod, delivering production applications with .NET, React, and Azure. Coaches developers on AI-first practices, agent design, prompt engineering, and orchestration. Partners with Product Owners to define requirements, user stories, priorities, and delivery sequencing. Provides technical leadership in client-facing discussions, ensures architectural and engineering quality, mentors teams, supports consulting pursuits, and designs technology solutions for enterprise analytics and operational goals.

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.

Owns business analysis and delivery for Adobe Experience Manager initiatives. Responsibilities include gathering requirements, managing and prioritizing backlogs, writing user stories and acceptance criteria, facilitating Scrum ceremonies, coordinating developers, architects, UX, QA, and stakeholders, supporting UAT, tracking risks and releases, and leading business-side content migration activities through validation, cutover, and sign-off.

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 Perficient’s global Adobe practice, owning revenue, bookings, delivery quality, margins, utilization, offerings, alliance growth, client relationships, and 300 practitioners across three regions. Drives AI-first Adobe services, including CX Enterprise Coworker and agentic delivery capabilities, while overseeing major pursuits, program recoveries, capacity planning, talent development, market positioning, and executive advisory engagements.

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.

Architects Adobe Commerce extensions, App Builder microservices, API Mesh integrations, AI agents, and serverless infrastructure. Establishes AI-assisted development standards, automated testing and security review practices, and secure coding guidelines. Optimizes Core Web Vitals, Edge caching, GraphQL performance, and upgrade-safe implementations. Builds proof-of-concepts for AI agents, smart checkout experiences, and Edge components while serving as the technical authority across development teams.