Senior Architect - Data

14 - 20 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior Architect - Data & Cloud at our company, you will play a crucial role in architecting, designing, and implementing end-to-end data pipelines and data integration solutions for various structured and unstructured data sources and targets. Your responsibilities will include the following: - More than 15 years of experience in Technical, Solutioning, and Analytical roles. - 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration, and Business Intelligence/Artificial Intelligence solutions on Cloud GCP/AWS/Azure. - Ability to understand business requirements and translate them into functional and non-functional areas, defining non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience, etc. - Experience in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud. - Proficiency in various Data Integration and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. - Deep knowledge of Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc. - Exposure to No-SQL databases like MongoDB, CouchDB, Cassandra, GraphDB, etc. - Designing scalable data warehouse solutions on cloud on Big Query or Redshift. - Working with data integration, storage, and data pipeline tool sets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc. - Good understanding of Cloud solutions for IaaS, PaaS, SaaS, Containers, and Microservices Architecture and Design. - Experience in Machine Learning Frameworks like TensorFlow, PyTorch. - Knowledge of BI Reporting and Dashboarding tools like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc. - Understanding of Security features and Policies in Cloud environments like GCP/AWS/Azure. In addition to the technical responsibilities, you will also have the opportunity to: - Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence. - Interface with stakeholders within IT and business to understand data requirements. - Take complete responsibility for the successful delivery of projects on parameters of Schedule, Quality, and Customer Satisfaction. - Mentor young talent within the team and contribute to building Assets and Accelerators. You will benefit from: - Working in a category-defining high-growth startup in the transformational AI, Decision Science, and Big Data Domain. - Being a part of a phenomenal growth journey and helping customers in digital transformation. - Collaborating with a diverse, proactive group of techies who are constantly raising the bar on translating data into tangible business value. - Flexible, remote working options for enhanced productivity and work-life balance.,

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