Senior Data Solutions Expert
1 week ago
Job OverviewThe role of Senior Solutions Architect – Data entails overseeing the buildout of streamlined, integrated technology stacks. With both consulting and product services, our expertise can help customers save time and resources as they navigate Clinical & Quality management to widespread commercialization.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.Key ResponsibilitiesIn this position, you will be responsible for:Designing end-to-end data platform architectures.Building scalable solutions on leading cloud platforms using best-practice patterns.Crafting data models and integrating pharma datasets (EDC, CTMS, IRT, CRM, 3PL, claims, hub, dispense, etc.).Developing solution blueprints, architecture diagrams, and implementation roadmaps.Leading technical delivery across multiple engagements.Conducting design reviews, guiding development teams, and ensuring solution quality.Ensuring adherence to Data governance, Security & Compliance.Overseeing operational support activities, driving automation where possible, and resolving data management and analytics-related issues.Contributing reusable assets, frameworks, and best practices for the practice.Applying practical knowledge of AI/ML or GenAI to enhance solution offerings.Identifying opportunities and designing solutions where AI can improve insights, automation, or workflow efficiency.QualificationsTo succeed in this role, you should have:A Bachelor's degree in computer science/software engineering or an equivalent combination of education and experience.10+ years of experience in data engineering, architecture, or delivery leadership roles.At least 5 years of experience working in the Biotech/Pharma Industry supporting Clinical/Commercial business units to meet their Data and Reporting needs.Hands-on experience with leading cloud platforms & services including AWS: S3, Glue, Lambda, Redshift, RDS, EMR, Athena, Step Functions and Azure: Azure Data Lake, ADF, Synapse, Functions, Key Vault, Event Hub, Snowflake, Databricks.Required skills include:Data lake/Lakehouse architectures and modern ELT patterns.Strong SQL, Python, Spark, and data modelling skills.Experience integrating pharma datasets & systems.Experience/good understanding of BI & reporting platforms such as Power BI, Tableau, Spotfire.Understanding of regulated data environments.Proven experience leading multi-phase or multi-team delivery.Excellent communication and client-facing leadership.Good-to-Have SkillsThe following skills are highly desirable:Experience with GenAI, ML pipelines, RAG architectures, embeddings, and vector DBs.Master Data Management (MDM) experience.Cloud/Data certifications (AWS/Azure/Snowflake/Databricks).CI/CD, Terraform, containerization (Docker/K8S).Deep understanding of specific business processes within the pharma value chain (e.g., clinical trial phases, supply chain logistics).Experience in designing and managing APIs for data ingestion and consumption.
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