Required Skills: Must Have Technical/Functional Skills Should possess working knowledge of data engineering concepts. Should have technical leadership skills and design thinking along with good understanding of architecture patterns. Knowledge in GCP, Programming proficiency in Spring and or Python framework is preferred. Experience in Healthcare domain is a plus. Roles & Responsibilities Design, implement, and manage robust, scalable, and cost-effective cloud-based data architectures. Data Architectural experience with knowledge of Big Query, Big Tables, Data Proc, Data modeling, SQL processing, Pyspark, Python (or similar technologies) with hands on experience. Data Architectural experience with hands on in performance, security, monitoring etc. Data Modeling: Develop and maintain conceptual, logical, and physical data models to support various business needs. Design and implement solutions for processing large datasets Data Governance: Establish and enforce data governance policies, including data quality, security, compliance, and metadata management. Data Pipelines: Build and optimize data pipelines for efficient data ingestion, transformation, and loading. Performance Optimization: Monitor and tune data systems to ensure high performance and availability. Preferrable to have In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer