Jobs at Perficient

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.

Leads enterprise marketing automation consulting across discovery, pre-sales, architecture, delivery, and ongoing advisory. Designs AI-first Adobe Marketo Engage solutions, integrations, migrations, campaign architectures, lead management systems, and CRM-connected ecosystems. Develops proposals, business cases, proofs of concept, and implementation plans; mentors practitioners; supports practice growth and thought leadership; and manages strategic client relationships and complex engagements.

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.

Leads complex pre-sales technical engagements for Databricks and cloud solutions, including discovery, architecture, proof-of-concept, TCO modeling, proposals, and SOW scoping. Owns a personal sales target and pipeline while ensuring delivery fidelity. Productizes repeatable offerings, develops reference architectures and pricing models, builds partner relationships, mentors architects, applies AI tools to pre-sales workflows, and supports thought leadership and practice development.

Owns client solution narratives from discovery through proof of concept, translating business problems into scoped technical solutions. Leads presales discovery, architecture workshops, RFP responses, SOW scoping, estimates, staffing plans, demos, and partner co-selling while carrying revenue accountability. Develops AI-focused solution assets, maintains partner relationships, mentors consultants, and ensures delivery fidelity from sale through execution.

Design and lead Salesforce solutions spanning Sales Cloud and Marketing Cloud Account Engagement (Pardot). Scope projects, architect prospect-to-lead/contact sync, drive connector and data governance best practices, mentor consultants, and manage campaign automation, segmentation, and deliverability considerations.

Leads complex technical pre-sales pursuits from discovery through solution design, architecture reviews, proof-of-concepts, proposals, and deal closure. Builds staffing plans, estimates, SOWs, TCO models, reference architectures, and scalable offerings while maintaining a personal sales target. Develops partner relationships across major cloud platforms, mentors architects, applies AI tools to pre-sales workflows, supports delivery transitions, and provides ongoing architectural governance.