Senior Data & Analytics Architect – Life Sciences, Pharma

11 hours ago

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NOUS LATAM

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HR Tech • B2B • AI

NOUS LATAM is a people management platform designed to build engaged, high-performing teams. It provides companies with tools to hire tech professionals efficiently by vetting talent and ensuring perfect matches swiftly. With a focus on aligning individual and team success to organizational goals, NOUS LATAM enhances manager-employee relationships, helps employees develop through marketplaces of opportunity, and offers support during transitions, such as layoffs. Its platform utilizes AI to streamline the hiring process and foster professional connections among talent in the tech industry.

2 - 10 employees

Founded 2022

👥 HR Tech

🤝 B2B

📋 Description

• Lead solution design and delivery execution for data, analytics, and AI programs across Clinical, Commercial, and Medical Affairs domains. • Provide architectural leadership, guide engineering teams, and ensure high-quality, compliant delivery for pharma clients. • Design end-to-end data platform architectures. • Build scalable solutions on leading cloud platforms using best-practice patterns. • Create data models and integrate pharma datasets (EDC, CTMS, IRT, CRM, 3PL, claims, hub, dispense, etc.). • Produce solution blueprints, architecture diagrams, and implementation roadmaps. • Lead technical delivery across multiple engagements. • Conduct design reviews, guide development teams and ensure solution quality. • Ensure adherence to Data governance, Security & Compliance. • Oversee operational support activities, driving automation where possible and resolving data management and analytics-related issues. • Contribute reusable assets, frameworks, and best practices for the practice. • Bring practical knowledge of AI/ML or GenAI to enhance solution offerings. • Identify opportunities & design solutions where AI can improve insights, automation, or workflow efficiency.

🎯 Requirements

• Bachelor’s degree in computer science/software engineering or equivalent combination of education and experience • 6+ years in data engineering, architecture, or delivery leadership roles. • Hands-on experience with leading cloud platforms & services including: AWS: S3, Glue, Lambda, Redshift, RDS, EMR, Athena, Step Functions Azure: Azure Data Lake, ADF, Synapse, Functions, Key Vault, Event Hub. Snowflake, Databricks • Expertise in data lake/Lakehouse architectures and modern ELT patterns. • Strong SQL, Python, Spark, and data modeling skills. • Experience integrating pharma datasets & systems • Experience/good understanding of BI & reporting platforms such as: