Engineering Architect

About

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.
We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Role

As Process Architect, you will be the hands‑on architect of this transition, converting legacy, document‑centric processes into a modern, data‑centric ecosystem within Veeva Validation Management.
We are seeking a technical lead to convert legacy documents into normalized, relational data environments. In this role, you will act as a digitalization expert, guiding customers from paper‑heavy or paper‑on‑glass solutions to data‑centric workflows. You will also be responsible for owning the development and maintenance of specialized tooling and methodologies required to migrate and manage data across Vault environments.
This is a work anywhere, full‑time permanent role with Veeva.

Responsibilities

• Reconcile customer‑specific metadata to ensure data alignment and consistency across the entire validation lifecycle
• Execute bulk data loads and manage staged data for customer workshops and process exercises
• Develop and own the specialized tooling and methodologies required to migrate and manage relevant data across Vault environments
• Execute billable project work across various service tiers ranging from artifact mapping to enterprise‑level deployments
• Partner with the strategy, services, and business consulting organizations to ensure an exceptional customer experience that reflects a deep understanding of validation processes across computer systems, equipment, cleaning, etc.
• Experience mapping complex customer business processes into standardized data languages to move organizations to paperless validation models

Requirements

• Proficiency in bulk data loading tools and managing data integrity within cloud‑based platforms
• Strong analytical skills for identifying configuration gaps between legacy customer data and system templates
• Bachelor’s degree in Engineering (Chemical, Mechanical, Bioengineering, Electrical, or related technical field)
• Familiarity with data transfer methodologies or specialized migration tooling

Perks & Benefits

• Health and wellness programs

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