The Enterprise Data & Integration Architect will lead the end-to-end assessment of a client’s complex data ecosystem and produce a future-state technical reference architecture spanning data platforms, integration patterns, governance frameworks, and enabling technologies.

This role operates at the intersection of enterprise architecture, data engineering, and platform strategy. The architect will evaluate current-state capabilities, identify structural and technical gaps, and design a scalable, secure, and modernized target architecture aligned to business strategy and digital objectives.

This is a client-facing leadership role requiring strong executive communication, deep technical breadth, and structured architectural discipline.

Experience

10+ years in enterprise architecture, data architecture, or integration architecture

5+ years leading enterprise-wide architecture transformation initiatives

Experience assessing large, heterogeneous environments (>$1B enterprises preferred)

Demonstrated success designing modern data platforms

Technical Expertise

Data architecture patterns:

Lakehouse, Data Mesh, Hub-and-Spoke, Domain-Oriented

Integration patterns:

API-led connectivity

Event-driven architecture

Message brokers

Microservices integration

Strong familiarity with:

ETL/ELT frameworks

Streaming platforms (e.g., Kafka ecosystems)

Metadata management & data cataloging

Identity & access management

DevSecOps and CI/CD for data pipelines

Architectural Discipline

Proficiency in:

Logical and physical architecture modeling

Reference architecture development

TOGAF or comparable framework

Ability to define standards and guardrails

Structured assessment methodology

Preferred Qualifications

Experience in Manufacturing 4.0, CPG, or industrial environments (complex OT/IT landscapes)

Cloud certifications (AWS, Azure, GCP)

Experience integrating ERP platforms (SAP, Oracle)

Experience with regulated data environments