Job
Description
Cloud Data Engineering + Cloud Data Architecture + Data Integration Data Architecture Expertise:Lead the design and implementation of robust, scalable and secure data platform architecture that meet business requirements and industry best practices.Solution Design Expertise: Serve as a trusted advisor to our data architecture, data engineering teams, providing guidance on cloud architecture design, implementation strategies and best practices GCP Expertise:Demonstrate proficiency in GCP tools and services, including BigQuery, CloudSpanner, Dataflow, DataForm, Dataprep, and Healthcare APIs. Stay abreast of GCP updates and incorporate new features into our architectureSolution Implementation: Guide, mentor and work with the development team translating architectural design into scalable system(s). Enable Continuous Integration and Continuous Deployment of data model, data pipelines, etcHealthcare Domain Knowledge is good to haveCost Optimization: Analyze GCP Services and spending patterns to identify opportunities for cost optimization. Provide architecture recommendations on that selection and resource allocationArrive at data solution diagrams including data flow diagrams, use case models,etc.Collaborate with Data Modelers, Data Engineers, QA team and stakeholders to ensure thorough understanding of requirements and delivery integrated solutionExpert using SQLAdvanced experience with ETL/ELT architecture, Data Integration, warehouse implementations and experience with enterprise level ETL/ELT tools.Programming language proficiency in Python, etcAdvanced understanding of data normalization and denormalization techniques.Exposure to batch, real-time, near real-time and various data integration patternsStrong interpersonal skills including the ability to lead and facilitate discussions with business and technical stakeholders from executive level leadership to daily hands-on contributors.Expert in time-management and self-directed activity.Minimum of 2 Years + experience as an Architect Location - Remote, Chennai, Bengaluru, Hyderabad, Delhi, NCR, Noida, Mumbai, Pune, Ahmedabad, Bangalore
