Senior Business Intelligence Strategist

2 weeks ago

thoothukudi, India beBeeData Full time

Job Title: Senior Solutions Architect – Data We are seeking a seasoned expert to lead solution design and delivery execution for data, analytics, and AI programs across Clinical, Commercial, and Medical Affairs domains. The ideal candidate will have extensive experience in data engineering, architecture, or delivery leadership roles with at least 10 years of industry experience.Hands-on experience with leading cloud platforms & services including AWS, Azure, Snowflake, Databricks is required.Expertise in data lake/Lakehouse architectures and modern ELT patterns as well as strong SQL, Python, Spark, and data modelling skills is necessary.The role involves designing end-to-end data platform architectures, building scalable solutions on cloud platforms using best-practice patterns, creating data models and integrating pharma datasets, and overseeing operational support activities.Good understanding of regulated data environments and experience integrating pharma datasets & systems is also required.Excellent communication and client-facing leadership skills are essential for this position.Required Skills and Qualifications: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 Functions; Azure: 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 & systemsExperience/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 deliveryGood-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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