Jobs at Perficient

Designs and leads enterprise application architecture across .NET, React, and Azure. Responsibilities include defining technical strategies and roadmaps, guiding engineering teams, designing cloud-native systems and APIs, supporting production applications, and improving reliability, observability, performance, security, and scalability. The role also involves stakeholder engagement, technical leadership, mentoring, consulting, distributed-team collaboration, and adoption of AI-assisted development tools such as GitHub Copilot and Claude.

Leads architecture and hands-on development of Java and AWS cloud solutions, including microservices, distributed systems, APIs, and AI-enabled applications. Defines technical strategies, engineering standards, and roadmaps; contributes to coding, reviews, troubleshooting, and deployment. Partners with clients and delivery teams, mentors engineers, supports consulting proposals, and drives scalable, secure, resilient solutions using modern DevOps and agile practices.

Design, develop, and support scalable full-stack, cloud-native applications using Next.js, TypeScript, .NET, Python, AWS, and Kubernetes. Build AI-enabled solutions involving generative AI, LLMs, intelligent assistants, RAG, and workflow automation. Collaborate with architects, product teams, and clients, contribute to architecture and Agile delivery, troubleshoot production systems, establish observability practices, review code, and mentor junior engineers.

Leads enterprise production support strategy and technical architecture for complex application ecosystems. Designs L1-L3 support models, ITIL processes, monitoring and observability frameworks, incident management practices, automation, and AI-enabled operational capabilities. Provides solution architecture, client advisory, governance, modernization, and executive communication while supporting applications built with .NET, Python, Databricks, and Azure. The role also drives reliability, performance, service readiness, operational resilience, and continuous improvement across client environments.

Design, develop, test, document, deploy, and support scalable full-stack applications using React, C#/.NET, and Hack. Build backend services, APIs, integrations, and AI-enabled capabilities including LLM workflows. Participate in Agile planning, code reviews, troubleshooting, client communication, and software delivery while applying modern architecture, DevOps, CI/CD, and automated testing practices.

Designs, operates, and scales AWS cloud infrastructure, networking, and Databricks platforms across multi-account environments. Manages Terraform-based infrastructure, CI/CD pipelines, EKS/Kubernetes clusters, enterprise data integrations, observability, incident response, and governance. Optimizes networking, compute performance, costs, reliability, and production data workloads while partnering with engineering teams on continuous delivery and platform operations.

Owns product strategy, roadmap, requirements, backlog, and prioritization for digital banking capabilities. Gathers stakeholder needs, translates them into user stories, partners with vendors and technology teams, supports user acceptance testing and implementation readiness, and aligns payments, marketing, operations, and customer-facing functions. The role requires extensive product management experience in digital banking, online banking, payments, or financial services.

Designs and implements secure, scalable GCP solutions; leads cloud migration and modernization initiatives; builds GKE Kubernetes platforms; develops Terraform infrastructure; and implements CI/CD, automation, and SRE practices. Collaborates with enterprise clients, translates business needs into technical architectures, mentors team members, supports pre-sales, and helps adopt Google AI services including Vertex AI, BigQuery, and Dataflow.

Designs and develops scalable data pipelines, ETL/ELT processes, and integrations that synchronize enterprise data into Algolia indices. Optimizes indexing performance, data quality, and search relevance while implementing monitoring, governance, and validation. Collaborates with application, product, and business teams to define search requirements, troubleshoots synchronization and performance issues, and supports integrations with CMS, eCommerce, enterprise, and customer-facing platforms.

Designs and maintains scalable data pipelines, data models, semantic layers, data marts, and Tableau reporting solutions. Partners with stakeholders to translate reporting needs into technical solutions, while ensuring data quality, governance, performance, and reliability. Optimizes SQL queries, ETL/ELT processes, data warehousing, and Tableau performance across large-scale cloud data platforms. Collaborates with architects, analysts, and engineering teams on enterprise data solutions.

Leads end-to-end enterprise data and analytics projects across cloud platforms, data pipelines, integrations, data warehouses, lakehouses, and business intelligence solutions. Manages project plans, budgets, resources, risks, dependencies, stakeholders, delivery methodologies, change requests, and production support. Coordinates technical and business teams while overseeing data quality, SQL validation, incident resolution, SLA performance, and operational transition.

Leads enterprise data onboarding, integration, migration, remediation, and readiness initiatives. Coordinates engineering, analytics, architecture, governance, and business teams across concurrent workstreams. Oversees Snowflake integrations, data ingestion, transformation, validation, reconciliation, quality controls, and issue resolution. Manages project plans, risks, dependencies, Agile ceremonies, escalations, and leadership reporting while ensuring data accuracy, completeness, consistency, and compliance.

Leads end-to-end data migration projects, including profiling, quality assessment, source-to-target mapping, transformation logic, cleansing, validation, reconciliation, and UAT support. Collaborates with stakeholders to define requirements and acceptance criteria, recommends migration strategies, monitors risks, maintains governance and security standards, and produces documentation, reports, and quality metrics.

Provides end-to-end architecture for PIM, commerce, and data ecosystems. Designs integrations, data models, scalable cloud solutions, and architecture roadmaps; leads proof-of-concepts, client workshops, governance, and technical strategy. Supports Agile teams, resolves dependencies, mentors engineers, standardizes architecture practices, and contributes to pre-sales and proposal development.

Leads enterprise data solution architecture by gathering business and technical requirements, designing integrations, data models, and architecture diagrams, and presenting solutions through governance reviews. Establishes reusable data patterns and best practices while collaborating with engineering, analytics, and product teams to deliver scalable data products. Requires extensive data or solution architecture experience, Snowflake and AWS expertise, and strong stakeholder communication skills.

Gather and document business and data requirements, create functional specifications and source-to-target mappings, and analyze healthcare payer datasets using SQL and Databricks. Define transformation rules with technical teams, support UAT and data validation, document data lineage and dictionaries, identify data quality issues, and facilitate communication between stakeholders and engineering teams to improve reporting and operational efficiency.

Designs and implements scalable data integration, migration, ETL/ELT, and data modeling solutions. Optimizes Elasticsearch indices and clusters, develops SQL queries and database objects, and builds integration services using Java, TypeScript, or C#. Supports data validation, reconciliation, CI/CD, testing, deployment, troubleshooting, architecture reviews, and enterprise data platform operations while collaborating with technical and business stakeholders.

Designs and optimizes enterprise data solutions using Snowflake, dbt, Fivetran, SQL, and Azure services. Leads data modernization and migration initiatives, builds scalable pipelines, supports governance and performance optimization, and applies Snowflake Cortex and AI-enabled technologies. Partners with stakeholders to translate business needs into technical designs, provides consulting and technical leadership, and communicates solutions across technical and non-technical audiences.

Designs and maintains Coveo data ingestion and indexing pipelines, integrating enterprise data sources and configuring metadata, schemas, mappings, and enrichment. Optimizes search relevance using query pipelines, ranking strategies, and machine learning. Monitors analytics and platform performance, troubleshoots synchronization issues, supports data governance, and contributes to AI Search, Generative AI, and knowledge management initiatives. Partners with engineering, product, and business teams to improve enterprise information access.

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.