Data Architect - Pharma

Onsite - Chicago - 4 days in office (Mandatory)

Industry - Pharma (Mandatory)

• Experience in understanding and translating data, analytic requirements and functional needs into technical requirements while working with global customers.
• Design cloud-native data architectures that support scalable, real-time, and batch processing.
• Build and maintain data pipelines to support large scale data management in alignment with data strategy and data processing standards.
• Define strategies for data modeling, data integration, and metadata management.
• Strong experience in database, data warehouse, data lake design & architecture.
• Leverage cloud platforms (AWS, Azure, GCP, etc.) for data storage, compute, and analytics services such as Azure Synapse, AWS Redshift, or Google Big Query.
• Experience in Database programming using multiple flavour of SQL.
• Implement data governance frameworks, including data quality, lineage, and cataloging.
• Collaborate with cross-functional teams, including business analysts, data engineers, and Dev Ops teams.
• Experience in Big Data ecosystem - on-prem (Hortonworks/MapR) or Cloud (Dataproc/EMR/HDInsight/Databricks/Snow Park)
• Evaluate emerging cloud technologies and recommend improvements to data architecture.
• Experience in any orchestration tool such as Airflow/Oozie for scheduling pipelines.
• Hands‑on experience in using Spark Streaming, Kafka, Databricks, Snowflake, etc.
• Experience working in an Agile/Scrum development process.
• Experience to optimize data systems for cost efficiency, performance, and scalability.