Data Architect

100% Remote Data Architect

5 month contract with extensions

Must-Have Qualification

• s10+ 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
• sExperience supporting AI/ML initiatives through data architecture (Claude, OpenAI, LangChain, or similar
• )Understanding of data governance, metadata, lineage, and data quality best practice

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Plusse**

• s:Life Sciences, Pharmaceutical, or Healthcare experienc
• e.Experience supporting drug discovery or research data environment
• s.Exposure to Electronic Lab Notebook (ELN) platform
• s.Experience with cloud data platforms (AWS, Azure, or GCP
• ).Background designing AI-enabled data products in highly regulated environment

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Over**

viewA large pharma client is seeking a hands -on Data Archi tect 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 organizat

**ion.

Key Responsibil**

• itiesDesign and implement scalable enterprise data architectures and data prod
• ucts.Create and maintain logical and physical data models that support AI/ML initiat
• ives.Design datasets and make them accessible for end users, analytics teams, and AI applicat
• ions.Partner with product managers and business stakeholders to gather requirements and translate them into technical solut
• ions.Define governance standards and ensure data quality, metadata management, and compliance best pract
• ices.Support AI and Agentic AI initiatives by designing data foundations and pipelines that enable intelligent workflows and automa
• tion.Collaborate with engineering teams to ensure solutions are scalable, maintainable, and aligned with enterprise architecture stand
• ards.Drive architecture delivery from concept through implementa

tion.