Enterprise Architect

Infoverity, Inc.; Dublin (OH); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Infoverity, a 100% employee‑owned company, seeks an experienced Enterprise Architect to design and deliver enterprise data platform solutions. This role leads lakehouse initiatives on Databricks and Snowflake, with real-time data via Kafka, and strong integration across ops, apps, and analytics.

You will guide clients from strategy through implementation, partnering with stakeholders and delivery teams while ensuring governance, security, and AI/ML enablement across cloud and on‑prem

Qualifications

• Bachelor's degree required in CS/IS/Engineering or related field.
• 5+ years of experience in solution architecture or technical consulting.
• Experience designing and implementing enterprise-scale data platform solutions.
• Strong expertise in cloud platforms (AWS, Azure, GCP) and hybrid architectures.
• Knowledge of modern data platform and 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.
• Proficient in SQL and at least one programming language (Python preferred).
• Ability to translate business requirements into technical designs and lead teams.

Responsibilities

• Partner with clients to understand goals and requirements; run workshops and PoCs.
• Develop solution roadmaps, project plans, and guide engineering teams.
• Provide pre-sales technical support, ROI/TCO analysis for stakeholders up to C-level.
• Create data architecture unifying enterprise data across systems and platforms.
• Design scalable lakehouse solutions integrating cloud, on-prem, and SaaS.
• Architect real-time data distribution via Kafka and streaming pipelines.
• Deliver ETL/ELT pipelines and orchestrations for batch, API, and streaming data.
• Produce technical documentation: architecture diagrams, blueprints, integration patterns, and TCO models.
• Mentor junior architects, consultants, and engineers.
• Ensure security, compliance, and governance in cloud architectures.

Skills

Cloud platforms

Event-driven

Kafka

SQL

Python

Stakeholder enablement

Security & governance

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Databricks

Snowflake

Informatica IDMC

Kafka tooling

MDM platforms

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/