Data Solutions Strategist

5 days ago


erode, India beBeeDataAnalytics Full time

Senior Solutions Architect – DataThis is a highly sought-after role for an experienced Senior Solutions Architect to lead the design and delivery of data, analytics, and AI programs across various domains.We are looking for someone with strong leadership skills and expertise in data lake/Lakehouse architectures and modern ELT patterns.The ideal candidate will have 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.This role requires a Bachelor's degree in computer science/software engineering or equivalent combination of education and experience. The successful candidate will have at least 10+ years in data engineering, architecture, or delivery leadership roles and at least 5 years of experience working in the Biotech/Pharma Industry supporting Clinical/Commercial business units to meet their Data and Reporting needs.Key Responsibilities:Design end-to-end data platform architecturesBuild scalable solutions on leading cloud platforms using best-practice patternsCreate data models and integrate pharma datasets (EDC, CTMS, IRT, CRM, 3PL, claims, hub, dispense, etc.)Produce solution blueprints, architecture diagrams, and implementation roadmapsLead technical delivery across multiple engagementsConduct design reviews, guide development teams and ensure solution qualityEnsure adherence to Data governance, Security & ComplianceOversee operational support activities, driving automation where possible and resolving data management and analytics-related issuesContribute reusable assets, frameworks, and best practices for the practiceBring practical knowledge of AI/ML or GenAI to enhance solution offeringsIdentify opportunities & design solutions where AI can improve insights, automation, or workflow efficiencyQualifications:Bachelor's degree in computer science/software engineering or equivalent combination of education and experience10+ years in data engineering, architecture, or delivery leadership rolesAt least 5 years of experience working in the Biotech/Pharma Industry supporting Clinical/Commercial business units to meet their Data and Reporting needsHands-on experience with leading cloud platforms & services including:AWS: S3, Glue, Lambda, Redshift, RDS, EMR, Athena, Step FunctionsAzure: Azure Data Lake, ADF, Synapse, Functions, Key Vault, Event Hub, Snowflake, DatabricksExpertise in data lake/Lakehouse architectures and modern ELT patternsStrong SQL, Python, Spark, and data modelling skillsExperience integrating pharma datasets & systemsExperience/good understanding of BI & reporting platforms such as: Power BI, Tableau, SpotfireUnderstanding of regulated data environmentsProven experience leading multi-phase or multi-team deliveryExcellent communication and client-facing leadershipGood-to-Have Skills:Experience with GenAI, ML pipelines, RAG architectures, embeddings, and vector DBsMaster Data Management (MDM) experienceCloud/Data certifications (AWS/Azure/Snowflake/Databricks)Clinical trial phases, supply chain logisticsAPI design and management



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