Top Tech Jobs & Startup Jobs in Boston, MA

Lead data architecture consulting engagements, pursuit teams, client workshops, proofs of concept, and complex solution delivery. Design modern data architectures, integrate third-party platforms, create implementation roadmaps, and translate technical concepts for executive and technical audiences. Manage globally distributed teams, provide mentorship and thought leadership, support sales pursuits, and advise clients on data governance, quality, cataloging, lineage, master data management, cloud platforms, modernization, scalability, security, and AI-enabled solutions.

Design, build, deploy, and operate production conversational AI and intelligent contact center solutions on AWS. Develop Amazon Connect, Lex, Bedrock, NovaSonic, Lambda, API Gateway, and DynamoDB integrations; connect ServiceNow for case management and agent workflows; implement observability and optimize contact center performance. Collaborate directly with client engineering teams through architecture reviews, sprints, pairing, documentation, runbooks, and knowledge transfer.

Leads Perficient’s Adobe digital marketing consulting capability, owning bookings, revenue, pipeline, solution quality, and billability. Advises enterprise clients on Adobe marketing-stack strategy, identity and data architecture, governance, personalization, content production, migrations, agentic capabilities, and consumption economics. Leads executive workshops, major pursuit reviews, reusable architecture development, hiring, staffing, career progression, and team development. The role requires translating recommendations into deliverable implementation plans and setting practice standards across complex consulting engagements.

Leads product strategy, vision, discovery, roadmaps, stakeholder engagement, requirements refinement, workflow modeling, backlog management, and user story development for commerce and order management solutions. Owns product outcomes across delivery streams, analyzes product metrics, manages risks and dependencies, and guides development teams toward successful client delivery. Requires consulting experience, order management expertise, executive communication, Agile/Scrum knowledge, and familiarity with AI tools and platforms.

Designs and leads enterprise Order Management System solutions, including architecture, integrations, roadmaps, fit-gap analysis, workshops, proofs of concept, estimation, and implementation strategy. Partners with stakeholders, product owners, developers, and distributed teams to deliver scalable OMS capabilities across ERP, CRM, WMS, and eCommerce platforms. Provides technical leadership, executive presentations, mentoring, team oversight, and thought leadership while supporting multiple Agile teams and consulting engagements.

Designs, operates, and scales AWS and Databricks infrastructure across multi-account environments. Responsibilities include AWS networking, Terraform automation, CI/CD pipelines, EKS/Kubernetes operations, enterprise data integrations, observability, incident response, governance, and platform optimization. The role supports production-grade data workloads and requires strong expertise in cloud architecture, networking, infrastructure as code, operational excellence, and distributed data platforms.

Design and own end-to-end Databricks Lakehouse and AI/BI solutions across cloud platforms. Provide architecture, presales support, POCs, integration, estimations, mentorship, and technical leadership for multi-team deliveries, including batch and streaming data pipelines and GenAI integrations.

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.

Lead the architecture, implementation, integration, and optimization of Oracle EPM Planning solutions. Design planning, budgeting, forecasting, modeling, security, metadata, and reporting frameworks; configure Oracle EPM modules; and apply AI-driven forecasting capabilities. Lead requirements workshops, testing, deployment, stakeholder presentations, and pre-sales activities. Mentor consultants and developers while advising finance and executive stakeholders on enterprise planning transformation initiatives.

Architects enterprise digital commerce transformations using Adobe Commerce Cloud, Adobe Commerce Optimizer, App Builder, API Mesh, and AI technologies. Designs composable, headless, agentic, and SaaS-modernized commerce ecosystems; guides migrations from monolithic or PaaS architectures; develops integration patterns for AI search, recommendations, support, inventory, and pricing; and establishes governance for secure, ethical AI adoption. The role also uses AI and LLM tools for system modeling, architecture blueprints, code and API audits, data-flow mapping, and legacy modernization strategies.