Senior Technical Data Architect

We respectfully request that 3rd parties refrain from contacting us regarding this posting.

Overview

LABUR is partnering with a client to identify a Senior Technical Data Architect who will drive enterprise integration, data readiness, analytics, and AI-enablement initiatives. This is a hands-on technical role focused on designing and implementing scalable integration and data solutions across Commercial, R&D, Manufacturing, Supply Chain, Finance, and Corporate functions within a life sciences environment.

Responsibilities

• Evaluate current-state integrations, data architecture, and data management capabilities; assess technologies and recommend future-state solutions and sustainable operating models.
• Design and implement enterprise integrations between business applications, data platforms, and analytics environments.
• Build and optimize data lakes, data warehouses, lakehouses, semantic layers, and reusable data products, including scalable ingestion, transformation, and orchestration pipelines.
• Establish data governance, master data management (MDM), metadata, lineage, and data quality frameworks.
• Enable trusted, governed data for reporting, dashboards, self-service analytics, and AI use cases.
• Connect data across SAP, Veeva, Salesforce, clinical, regulatory, manufacturing, and commercial systems.
• Partner with business and IT stakeholders to translate requirements into technical architectures and implementation roadmaps, providing hands-on delivery, best-practice guidance, and knowledge transfer.

Qualifications

• 12+ years of hands-on experience in enterprise integrations, data architecture, analytics, and data platform delivery.
• Excellent expertise with enterprise integration technologies, particularly Informatica IDMC and PowerCenter
• Proven experience with Databricks, Snowflake, SAP HANA, data lakes, data warehouses, and lakehouse architectures.
• Proven success integrating enterprise applications including SAP, Veeva CRM, Salesforce, Veeva PromoMats, and Veeva Medical Communications across commercial, R&D, manufacturing, supply chain, and corporate data domains.
• Track record of implementing data governance, MDM, data quality, security, privacy, and compliance controls, as well as AI-ready data foundations and self-service reporting environments.
• Life sciences, healthcare, pharma, or biotech industry experience.
• Strong communication skills with the ability to work independently, influence stakeholders, and engage both technical and business audiences. Bachelor's degree required; advanced degree preferred.

Compensation

$100-$110/hr - Dependent on fit and experience.