Senior Data Platform Developer

2 weeks ago

moradabad, India beBeeDataArchitect Full time

Job Title: Senior Solutions Architect - DataKey Responsibilities:Design and develop end-to-end data platform architectures.Build scalable solutions on leading cloud platforms using industry best practices.Develop robust data models and integrate pharma datasets (EDC, CTMS, IRT, CRM, 3PL, claims, hub, dispense, etc.).Create detailed solution blueprints, architecture diagrams, and implementation roadmaps.Lead technical delivery across multiple engagements.Conduct thorough design reviews, guide development teams, and ensure high-quality solution delivery.Maintain adherence to Data governance, Security & Compliance.Oversee operational support activities, driving automation where possible and resolving data management and analytics-related issues.Develop reusable assets, frameworks, and best practices for the practice.Apply practical knowledge of AI/ML or GenAI to enhance solution offerings.Identify opportunities and design solutions where AI can improve insights, automation, or workflow efficiency.Qualifications:Bachelor's degree in computer science/software engineering or equivalent combination of education and experience.10+ years 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 FunctionsAzure: Azure Data Lake, ADF, Synapse, Functions, Key Vault, Event Hub, Snowflake, DatabricksExpertise in 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.Nice to Have Skills: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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