Insight Global
Data Architect
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100% Remote Data Architect
5 month contract with extensions
Must-Have Qualification
- 10+ years of experience working in Data Modeling & Architecture
- Strong experience designing enterprise data models and data architectures
- Hands-On Technical Experience with SQL expertise, Apache Spark, and working closely with data engineering teams and modern data platform
- Experience supporting AI/ML initiatives through data architecture (Claude, OpenAI, LangChain, or similar)
- Understanding of data governance, metadata, lineage, and data quality best practices
Plusses
- Life Sciences, Pharmaceutical, or Healthcare experience
- Experience supporting drug discovery or research data environment
- Exposure to Electronic Lab Notebook (ELN) platform
- Experience with cloud data platforms (AWS, Azure, or GCP)
- Background designing AI-enabled data products in highly regulated environment
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Overview
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A large pharma client is seeking a hands-on Data Architect to support the design and delivery of AI-enabled data products within a large-scale enterprise data platform. This individual will partner closely with product managers, engineering teams, and business stakeholders to design scalable data models, data products, and architecture that support AI/ML and agentic AI use cases. This is not a strategy-only architecture role. The ideal candidate will be actively involved in designing datasets, data models, and data foundations that enable AI-driven solutions and intelligent agents across the organization.
Key Responsibilities
- Design and implement scalable enterprise data architectures and data products
- Create and maintain logical and physical data models that support AI/ML initiatives
- Design datasets and make them accessible for end users, analytics teams, and AI applications
- Partner with product managers and business stakeholders to gather requirements and translate them into technical solutions
- Define governance standards and ensure data quality, metadata management, and compliance best practices
- Support AI and Agentic AI initiatives by designing data foundations and pipelines that enable intelligent workflows and automation
- Collaborate with engineering teams to ensure solutions are scalable, maintainable, and aligned with enterprise architecture standards
- Drive architecture delivery from concept through implementation
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