Principal Architect - Data Cloud

Responsibilities: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 BusinessIntelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure)Ability to understand business requirements, translate them into functional and non-functional areas, define non-functionalboundaries in terms of Availability, Scalability, Performance, Security, Resilience etc.Experience in architecting, designing, and implementing end to end data pipelines and data integration solutions for variedstructured and unstructured data sources and targets.Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR,etc. on various Cloud.Experience of having worked with traditional ETL tools like Informatica/DataStage/OWB/Talend, etc.Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora,DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc.Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or RedshiftExperience in having worked on one or more 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.Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc.Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design.Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud.Good understanding of BI Reporting and Dashboarding and one or more tool sets associated with it like Looker, Tableau, PowerBI, SAP BO, Cognos, Superset, etc.Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure.Experience of having worked in business transformation projects for movement of On-Premise data solutions to Clouds likeGCP/AWS/AzureBe a trusted technical advisor to customers and solutions for complex Cloud Data related technical challenges.Be a thought leader in architecture design and development of cloud data analytics solutions.Liaison with internal and external stakeholders to design optimized data analytics solutionsPartner with SMEs and Solutions Architects from leading cloud providers to present solutions to customersSupport Quantiphi Sales and GTM teams from a technical perspective in building proposals and SOWsLead discovery and design workshops with potential customers across the globeDesign and deliver thought leadership webinars and tech talks alongside customers and partners.Identify areas for productization and feature enhancement for Quantiphi’s product assets Roles:Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and businessintelligence.Interface with multiple stakeholders within IT and business to understand the data requirementsTake complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction.Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems.Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.Work with the Pre-Sales team on RFP, RFIs and help them by creating solutions for dataMentor young Talent within the Team, Define and track their growth parameters.Contribute to building Assets and Accelerators
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