Our client is rolling out a suite of enterprise platforms—including CRM, HUB, ERP, RIM, and expanded AWS infrastructure—to enable and scale upcoming commercialization. They are seeking a Senior Enterprise Data Architect to provide centralized architectural leadership and establish a unified data foundation across these systems.
In this role, you will define the target-state data architecture, integration standards, and data governance framework early in the implementation lifecycle to prevent siloed data, reporting inconsistencies, and downstream rework. You will ensure the organization’s data capabilities are built for scale, regulatory compliance, and IPO readiness, setting standards and controls before enterprise systems are fully configured and adopted.
Responsibilities
Establish and govern the enterprise data architecture across core platforms, including CRM, HUB, ERP, RIM, CTMS, QMS, and AWS, ensuring a unified and scalable data foundation.
Define and maintain the canonical enterprise data model, including a standardized data dictionary and shared business definitions to ensure consistency across systems and reporting.
Architect scalable AWS data lake and data warehouse structures aligned with commercialization, analytics, and enterprise reporting needs.
Define, document, and enforce enterprise integration standards, including API, ETL/ELT, and event-driven patterns to ensure consistent, reliable data movement across systems.
Implement and evolve master data governance standards, establishing data domains, stewardship, and an ownership framework across cross-functional teams.
Ensure data lineage, traceability, and documentation meet regulatory expectations and support SOX controls and IPO readiness initiatives.
Provide data architecture oversight for system selection and implementation, partnering with vendors and internal teams to align solutions with the target-state architecture.
Partner with stakeholders across IT, Commercial, Regulatory, Clinical, and Finance to prevent siloed implementations, improve data quality, and enable trusted enterprise reporting.
Qualifications and Job Requirements
8+ years of experience in enterprise data architecture, data engineering, or closely related roles, building and scaling data platforms in complex environments.
Strong technical foundation, including prior experience as a software engineer or working deeply within software engineering teams to deliver production-grade systems.
Experience working in regulated industries (required); Biotech or Pharma experience is strongly preferred.
Proven success designing data architecture across enterprise systems such as CRM, ERP, and other regulated platforms, ensuring consistent definitions and trusted reporting.
Hands-on experience establishing data governance and master data frameworks, ideally in environments preparing for IPO readiness and audit-grade controls.
Demonstrated expertise architecting AWS-based data lakes and data warehouses to support analytics, commercialization reporting, and scalable data operations.
Experience leading cross-system integrations (API, ETL/ELT, event-driven patterns) and setting enterprise integration standards.
Track record of influencing or leading system selection decisions from a data architecture perspective, partnering with vendors and internal stakeholders.