Enterprise Architect

Infoverity, Inc.; Dublin (CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Infoverity seeks an experienced Enterprise Architect to lead architecture and delivery of enterprise data platform solutions. You will define lakehouse strategies, real-time data distribution, and integration architectures across cloud and on-prem environments.

You will partner with clients, translate complex requirements into robust designs, and guide delivery teams from strategy through implementation, including governance and AI/ML enablement. Remote/hybrid work is possible.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 5+ years of solution architecture or technical consulting experience.
• Experience designing and implementing enterprise-scale data platform solutions.
• Strong cloud expertise across AWS, Azure, and GCP, and hybrid architectures.
• Knowledge of modern data lakehouse concepts for flexible analytics.
• Proficiency in data integration patterns, API design, and system interoperability.
• Experience with event-driven architectures and publish/subscribe messaging (Kafka).
• Experience with data quality and governance frameworks.
• Technical skills in SQL and at least one programming language (Python preferred).
• Ability to translate business requirements into technical specifications and designs.
• Leadership of technical teams and client engagements from strategy through implementation.
• Understanding of security, compliance, and governance in cloud architectures.
• Excellent communication and presentation skills with C-level stakeholders.
• Consulting experience managing client relationships and engagements.

Responsibilities

• Partner with clients to understand goals and requirements, leading workshops and proof-of-concept projects.
• Develop solution roadmaps, project plans, and task breakdowns; guide engineering teams through delivery.
• Provide technical expertise during pre-sales, articulating ROI and TCO to stakeholders up to the C-level.
• Create comprehensive data architecture that unifies enterprise data across systems.
• Design scalable lakehouse architectures combining data lakes and warehouses for analytics.
• Architect event-driven data distribution with Kafka, including topic design and schema mgmt.
• Design pipelines that ingest, transform, and process data across batch, API, and streaming patterns.
• Architect BI and analytics solutions using tools like Power BI/Tableau/Streamlit.
• Develop governance and data quality frameworks; interoperate MDM platforms with lakehouse and analytics.
• Mentor junior architects, consultants, and engineers; deliver architecture docs and blueprints.

Skills

Cloud platforms

Kafka

Data governance

SQL

Python

Stakeholder communication

Team leadership

Enterprise architecture

Education

Bachelor's degree in Computer Science/Information Systems/Engineering

Tools

Databricks

Snowflake

Informatica IDMC

Terraform

Job description

Dublin, United States | Posted on 08/20/2026

Infoverity, a 100% employee-owned company, has been on the Inc. 5000, recognized by IDG's Computerworld as one of the Best Places to Work in IT, as a Wonderful Workplace for Young Professionals and as a "Best Place to Work" by Inc. Magazine and Business First.

Job Description

Infoverity isseeking an experienced Enterprise Architect to lead the design, architecture,and technical delivery of enterprise data platform solutions. In this role, youwill architect cloud lakehouse platforms, event-driven data distribution usingpublish/subscribe patterns (Kafka), and the integration architecture thatconnects operational systems, applications, and analytics - turning enterprisedata into trusted, decision-ready assets.

Your solutionportfolio will prioritize: lakehouse architecture on platforms such asDatabricks and Snowflake; real-time and near-real-time data distributionthrough Kafka topics and streaming pipelines; operational data serving andsyndication to downstream applications; and analytics, BI, and AI/MLenablement. You Will define which platforms own which layers of the solutionand how they interact, so the whole architecture works as one coherent system.

This positionis ideal for a technically skilled professional who can partner directly withclient stakeholders, translate complex business requirements into robustarchitecture, and guide delivery teams from strategy through implementation.

** This rolecan be done remote/hybrid. Relocation to Dublin, OH, is not required **

What You'll Do

Client Advisory and Leadership

• Partner with clients to understand their business goalsand technical requirements, conducting workshops and proof-of-concept projectsto demonstrate value.
• Develop solution implementation roadmaps, projectplans, and task breakdowns; delegate to and guide engineering teams throughdelivery.
• Provide technical expertise during pre-sales,articulating the value proposition of proposed solutions - including ROI andTCO analysis - to client stakeholders up to the C-level.
• Develop comprehensive data architecture that unifiesenterprise data across disparate systems.
• Design scalable, flexible solutions that integratecloud, on-premises, and SaaS platforms.
• Architect lakehouse solutions that combine data lakesand warehouses for scalable, cost-effective processing, with clear layerownership between operational serving and analytics consumption.
• Design event-driven data distribution usingpublish/subscribe patterns - Kafka topic design, schema management, andstate/change-event streams that feed downstream operational systems innear-real time.
• Design pipelines and orchestration that reliablyingest, transform, and process data across batch, API, and streamingintegration patterns.

Analytics, AI & Governance Enablement

• Architect reporting and analytics solutions using toolslike Power BI, Tableau, Streamlit, and other BI platforms.
• Develop architectures that enable organizations tounlock predictive and generative insights.
• Design governance and data quality frameworks, andarchitect how MDM platforms (e.g., Informatica IDMC) interoperate with thebroader lakehouse, streaming, and operational landscape.

Implementation & Team Enablement

• Guide implementation teams, establish best practices,and ensure solution quality.
• Deliver high-quality technical documentation, includingarchitecture diagrams, solution blueprints, integration patterns, and TCOmodels.
• Mentor junior architects, consultants, and engineers.

Requirements

RequiredQualifications

• Bachelor's degree in Computer Science, InformationSystems, Engineering, or a related field.
• 5+ years of experience in solution architecture ortechnical consulting.
• Experience designing and implementing enterprise-scaledata platform solutions.
• Strong expertise in cloud platforms (AWS, Azure, GCP)and hybrid architecture.
• Knowledge of modern data platform and lakehouseconcepts for flexible analytics.
• Proficiency in data integration patterns, API design,and system interoperability.
• Experience with event-driven architectures andpublish/subscribe messaging (e.g., Kafka or comparable streaming platforms).
• Experience with data quality and governance frameworks.
• Technical skills in SQL and at least one programminglanguage (Python preferred).
• Experience gathering business requirements andtranslating them into technical specifications and designs.
• Demonstrated ability to lead technical teams and managework delegation.
• Strong understanding of security, compliance, andgovernance in cloud architectures.
• Excellent communication and presentation skills withthe ability to engage effectively with C-level stakeholders.
• Consulting experience with demonstrated ability tomanage client relationships and lead engagements from strategy throughimplementation.

PreferredQualifications

• Experience serving healthcare organizations —providers, payers, group purchasing organizations (GPOs), or healthcare supplychain and services companies.
• Working knowledge of healthcare compliance and privacystandards (e.g., HIPAA) and experience designing data architectures that handleregulated data appropriately.
• Depth with Databricks (Delta Lake, Unity Catalog,medallion architectures) plus broader experience across Snowflake or MicrosoftFabric.
• Experience with Apache Kafka / Confluent, includingtopic design, schema management, and change-data-capture patterns.
• Hands-on integration experience with MDM/PIM platforms(Informatica IDMC, Reltio, Stibo, Syndigo), connecting MDM hubs with lakehouse,analytics, and operational systems.
• Familiarity with CRM and business applicationecosystems (Salesforce, Microsoft Dynamics 365 / Dataverse).
• Experience with AI/ML implementation and integrationwith data platforms.
• Experience designing or building custom applicationsand frontends on top of data platforms (e.g., React or similar frameworks,API-driven and headless UI patterns, Streamlit).
• Experience with infrastructure automation usingTerraform or similar tools.

Infoverity has become aware of potential scammers impersonating our leadership team and/or recruiting staff to request chat-based interviews and send job offers. Please be aware that this is not how we operate. Infoverity will never conduct an entire interview solely through web-based chat, and we will never ask for or accept money at any point in our hiring or onboarding process.

If you receive a suspicious message claiming to be from Infoverity, please do not respond with personal or financial information. For questions about legitimate job opportunities or to learn more about our actual interview process, visit our careers page: https://www.infoverity.com/en/infoverity-careers/