Senior Enterprise Data Architect - Biotechnology
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Job Description
Senior Enterprise Data Architect enabling scalable data architecture for a biotech company. Responsible for data governance and integration across enterprise platforms.
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.
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.
Benefits:
- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
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