Senior PeopleSoft ERP Developer

Silicontek Inc; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading company in IT Services is seeking an experienced R&D Data Modeler to join their Data Management team. This role involves designing and governing data architecture for R&D initiatives, optimizing data models for analytics, and ensuring compliance with regulatory standards. Ideal candidates will have extensive experience in data modeling within the pharmaceutical R&D domain and strong analytical skills.

Qualifications

• 12 years of work experience with 5+ years in data modeling or information architecture.
• Deep understanding of R&D domains (Clinical Ops, Safety, Regulatory).
• Strong experience in ETL/ELT pipelines and data integration.

Responsibilities

• Design and maintain data models aligned to R&D objectives.
• Serve as a subject matter expert for data integration across platforms.
• Apply data governance frameworks to ensure regulatory compliance.

Skills

Data Modeling

Data Integration

Metadata Management

Analytical Skills

Communication

Education

Bachelor’s degree in Computer Science

Degree in Data Management or related health/science field

Tools

Databricks

Informatica

ERwin

Reltio

Cloud platforms (Azure, AWS, Oracle)

Job description

We are seeking an experienced R&D Data Modeler to join our Data Management team. In this role, you’ll play a critical part in designing and governing the data architecture that powers our R&D digital and analytics initiatives. You'll partner across business, digital, and IT teams to build scalable, reusable data models that support clinical, research, regulatory, and operational domains.

Key Responsibilities

• Design and maintain conceptual, logical, and physical data models aligned to R&D objectives.
• Develop standard data models and ontologies across R&D areas including Research, Clinical, and Regulatory.
• Partner with data product teams to create reusable and actionable data products.
• Optimize physical schemas for performance, minimizing latency for analytics and AI use.

Solution Design & Integration

• Serve as the subject matter expert for data integration across legacy and modern platforms.
• Define modeling standards, naming conventions, and harmonization rules.
• Collaborate with cross-functional teams to translate business needs into robust data solutions.

Governance & Best Practices

• Apply data governance frameworks to ensure regulatory compliance (GxP, FAIR principles).
• Establish best practices for version control, documentation, and model lifecycle management.
• Evaluate and recommend modern data modeling tools and platforms.

Consulting & Enablement

• Facilitate workshops to capture data requirements and define future-state architectures.
• Educate and advise R&D teams on modeling methodologies and metadata management.
• Support enterprise data initiatives as a lead data consultant.

Qualifications

• Bachelor’s degree in Computer Science, Data Management, or a related health/science field.
• 12 years of work exp with the last 5+ years of experience in data modeling or information architecture within the pharmaceutical R&D domain.
• Proficiency in designing complex data models with strong business alignment.
• Deep understanding of R&D domains (Clinical Ops, Safety, Regulatory) and compliance (GxP).
• Strong experience in ETL/ELT pipelines, data integration, and metadata management.
• Familiarity with tools like Databricks, Informatica, ERwin, Reltio, and cloud platforms (Azure, AWS, Oracle).
• Knowledge of SDLC, change control, and validation processes.
• Excellent analytical, communication, and stakeholder engagement skills.
• Self-driven, collaborative, and passionate about data excellence.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Consulting

• Industries

  IT Services and IT Consulting

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