Senior Solutions Architect

19 hours ago

India Celito Tech, Inc. Full time

Job Title: Senior Solutions Architect – Data & Analytics (Life Sciences) Employment Type: Full-Time The Celito Team architects the buildout of simplified, integrated, and compliant technology With both consulting and products, our expertise can help our customers save time and money as they move from strategic Clinical & Quality management all the way to widespread Lead solution design and delivery execution for data, analytics, and AI programs across Clinical, Commercial, and Medical Affairs domains. 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. 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, 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 Functions 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 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. 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). clinical trial phases, supply chain logistics) Experience in designing and managing APIs for data ingestion and consumption

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