Principal Architect - DE

14 - 20 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: You will be working as a Principal Architect in the Data & Cloud domain with Quantiphi. With more than 15 years of experience in Technical, Solutioning, and Analytical roles, you will be responsible for architecting, designing, and implementing end-to-end data pipelines and data integration solutions for various structured and unstructured data sources and targets. You will also play a key role in designing scalable data warehouse solutions on cloud platforms like Big Query or Redshift. Key Responsibilities: - Build and manage Data Lakes, Data Warehouse, Data Integration, Data Migration, and Business Intelligence/Artificial Intelligence solutions on Cloud platforms such as GCP, AWS, or Azure. - Translate business requirements into functional and non-functional areas, defining boundaries in terms of Availability, Scalability, Performance, Security, Resilience, etc. - Architect, design, and implement data pipelines and integration solutions using technologies like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. - Work with various Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc. - Utilize No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc. for data storage and retrieval. - Collaborate with stakeholders to design optimized data analytics solutions and present solutions to customers. - Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence. - Mentor young talent within the team and contribute to building assets and accelerators. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Information Technology, or related field. - 14-20 years of experience in technical, solutioning, and analytical roles, with at least 5 years specifically in building and managing data solutions on Cloud platforms. - Proficiency in Cloud technologies such as GCP, AWS, or Azure, along with experience in data integration, storage, and pipeline tools. - Deep knowledge of databases, ETL tools, and data processing frameworks. - Understanding of Machine Learning Frameworks like TensorFlow, Pytorch is preferred. - Familiarity with BI Reporting and Dashboarding tools like Looker, Tableau, Power BI, etc. - Strong understanding of Cloud solutions for IaaS, PaaS, SaaS, Containers, and Microservices Architecture. - Experience in business transformation projects for migrating On-Premise data solutions to Cloud platforms. - Excellent communication skills and the ability to work effectively with internal and external stakeholders. (Note: Any additional details about the company were not provided in the job description.),

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