Remote Data Platform Architect: Lakehouse & Kafka

Infoverity; Dublin (OH); Hybrid; USD 160,000 - 210,000; Full time

Benefits offered by this job

Employee Benefits

Job summary

Infoverity is seeking an experienced Enterprise Architect to lead the design, architecture, and technical delivery of enterprise data platform solutions.

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.

Qualifications

• Bachelor’s degree required; relevant engineering or IT field.
• 5+ years in solution architecture or technical consulting.
• Experience designing enterprise-scale data platforms.
• Strong knowledge of cloud and hybrid architectures.
• Proficient in data integration, API design, and system interoperability.

Responsibilities

• Lead client workshops to define architecture and roadmaps.
• Develop data architecture unifying enterprise data across systems.
• Define lakehouse and pipeline patterns for batch, streaming, and API data.
• Mentor architects and engineers; deliver architecture documentation.
• Guide pre-sales with ROI and TCO analyses.

Skills

Enterprise architecture

Cloud platforms (AWS Azure GCP)

Event-driven architectures

Data integration patterns

Leadership & client engagement

SQL & Python

Education

Bachelor's degree in Computer Science or related field

Tools

Kafka

Informatica IDMC

Databricks

Snowflake

Power BI/Tableau

Streamlit

Job description

Infoverity is seeking an experienced Enterprise Architect to lead the design, architecture, and technical delivery of enterprise data platform solutions.

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.