Principal Architect

Job Description - 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, translate them into functional and non-functional areas, define non-functional - boundaries 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 varied - structured 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 Redshift - Experience 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, Power - BI, 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 like - GCP/AWS/Azure - Be 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 solutions - Partner with SMEs and Solutions Architects from leading cloud providers to present solutions to customers - Support Quantiphi Sales and GTM teams from a technical perspective in building proposals and SOWs - Lead discovery and design workshops with potential customers across the globe - Design 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 business - intelligence. - Interface with multiple stakeholders within IT and business to understand the data requirements - Take 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 data - Mentor young Talent within the Team, Define and track their growth parameters. - Contribute to building Assets and Accelerators