Principal Architect

Responsibilities

• Manage large-scale data analytics client engagements in a global delivery model
• Work with business executives to understand business requirements and constraints for the success of the program
• Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value
• Idelate problem solutions leveraging modern trends in data and analytics solutions and related patterns
• Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions
• Collaborate with business / IT stakeholders and product managers to ideate software requirements

Requirements

• 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
• Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies
• Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data
• Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks
• Implement Databricks on AWS, ensuring security, scalability, and performance
• Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics
• Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required
• Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines
• Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake
• Deep understanding of Life Sciences to deliver domain-specific solutions that address industry challenges