Enterprise Architect
Infoverity is
seeking an experienced Enterprise Architect to lead the design, architecture,
and technical delivery of enterprise data platform solutions. In this role, you
will architect cloud lakehouse platforms, event-driven data distribution using
publish/subscribe patterns (Kafka), and the integration architecture that
connects operational systems, applications, and analytics — turning enterprise
data into trusted, decision-ready assets.
Your solution
portfolio will prioritize: lakehouse architecture on platforms such as
Databricks and Snowflake; real-time and near-real-time data distribution
through Kafka topics and streaming pipelines; operational data serving and
syndication to downstream applications; and analytics, BI, and AI/ML
enablement. You will define which platforms own which layers of the solution
and how they interact, so the whole architecture works as one coherent system.
This position
is ideal for a technically skilled professional who can partner directly with
client stakeholders, translate complex business requirements into robust
architecture, and guide delivery teams from strategy through implementation.
** This role
can 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 goals
and technical requirements, conducting workshops and proof-of-concept projects
to demonstrate value.
• Develop solution implementation roadmaps, project
plans, and task breakdowns; delegate to and guide engineering teams through
delivery.
• Provide technical expertise during pre-sales,
articulating the value proposition of proposed solutions — including ROI and
TCO analysis — to client stakeholders up to the C-level.
Data Platform & Cloud Solution Architecture
• Develop comprehensive data architecture that unifies
enterprise data across disparate systems.
• Design scalable, flexible solutions that integrate
cloud, on-premises, and SaaS platforms.
• Architect lakehouse solutions that combine data lakes
and warehouses for scalable, cost-effective processing, with clear layer
ownership between operational serving and analytics consumption.
• Design event-driven data distribution using
publish/subscribe patterns — Kafka topic design, schema management, and
state/change-event streams that feed downstream operational systems in
near-real time.
• Design pipelines and orchestration that reliably
ingest, transform, and process data across batch, API, and streaming
integration patterns.
Analytics, AI & Governance Enablement
• Architect reporting and analytics solutions using tools
like Power BI, Tableau, Streamlit, and other BI platforms.
• Develop architectures that enable organizations to
unlock predictive and generative insights.
• Design governance and data quality frameworks, and
architect how MDM platforms (e.g., Informatica IDMC) interoperate with the
broader lakehouse, streaming, and operational landscape.
Implementation & Team Enablement
• Guide implementation teams, establish best practices,
and ensure solution quality.
• Deliver high-quality technical documentation, including
architecture diagrams, solution blueprints, integration patterns, and TCO
models.
• Mentor junior architects, consultants, and engineers.
Requirements
Required
Qualifications
• Bachelor's degree in Computer Science, Information
Systems, Engineering, or a 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 architecture.
• 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 (e.g., Kafka or comparable streaming platforms).
• Experience with data quality and governance frameworks.
• Technical skills in SQL and at least one programming
language (Python preferred).
• Experience gathering business requirements and
translating them into technical specifications and designs.
• Demonstrated ability to lead technical teams and manage
work delegation.
• Strong understanding of security, compliance, and
governance in cloud architectures.
• Excellent communication and presentation skills with
the ability to engage effectively with C-level stakeholders.
• Consulting experience with demonstrated ability to
manage client relationships and lead engagements from strategy through
implementation.
Preferred
Qualifications
• Experience serving healthcare organizations —
providers, payers, group purchasing organizations (GPOs), or healthcare supply
chain and services companies.
• Working knowledge of healthcare compliance and privacy
standards (e.g., HIPAA) and experience designing data architectures that handle
regulated data appropriately.
• Depth with Databricks (Delta Lake, Unity Catalog,
medallion architectures) plus broader experience across Snowflake or Microsoft
Fabric.
• Experience with Apache Kafka / Confluent, including
topic 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 application
ecosystems (Salesforce, Microsoft Dynamics 365 / Dataverse).
• Experience with AI/ML implementation and integration
with data platforms.
• Experience designing or building custom applications
and frontends on top of data platforms (e.g., React or similar frameworks,
API-driven and headless UI patterns, Streamlit).
• Experience with infrastructure automation using
Terraform or similar tools.
• Cloud certifications (AWS Certified Solutions
Architect, Microsoft Azure Solutions Architect Expert, Databricks
certifications, etc.).