Quantiphi Senior Architect Data Platform

Job description

<p><p><b>Company Profile :</b><br/><br/> Quantiphi is an award-winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact.<br/><br/> We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses.<br/><br/> We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for the Google Cloud Contact Center AI solution.<br/><br/> Our signature approach combines ground-breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.<br/><br/> We believe in Solving What Matters.<br/><br/><b>Role : Senior Architect Data</b><br/><br/> <b>Experience in Years :</b> 14 - 20 years.<br/><br/> <b>Work location :</b> Mumbai/ Bangalore.<br/><br/> <b>Responsibilities : </b><br/><br/> - More than 15 years of experience in Technical, Solutioning, and Analytical roles.<br/><br/> - 5+ years of experience in building and managing Data Lakes, Data Warehouses, Data Integration, Data Migration, and Business Intelligence/Artificial Intelligence solutions on the Cloud (GCP/AWS/Azure).<br/><br/> - Ability to understand business requirements, translate them into functional and non-functional areas, and define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience, etc.<br/><br/> - Experience in architecting, designing, and implementing end-to-end data pipelines and data integration solutions for varied structured and unstructured data sources and targets.<br/><br/> - Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.<br/><br/> - Well-versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc.

on various Cloud.<br/><br/> - Experience of having worked with traditional ETL tools like Informatica/DataStage/OWB/Talend, etc.<br/><br/> - 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.<br/><br/> - Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc.<br/><br/> - Experience in architecting and designing scalable data warehouse solutions on the cloud on Big Query or Redshift.<br/><br/> - 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.<br/><br/> - Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc.<br/><br/> - Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers, and Microservices Architecture and Design.<br/><br/> - Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud.<br/><br/> - 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.<br/><br/> - Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure.<br/><br/> - Experience of having worked in business transformation projects for the movement of On-Premise data solutions to Clouds like GCP/AWS/Azure.<br/><br/> - Be a trusted technical advisor to customers and solutions for complex Cloud & Data related technical challenges.<br/><br/> - Be a thought leader in architecture design and development of cloud data analytics solutions.<br/><br/> - Liaison with internal and external stakeholders to design optimized data analytics solutions.<br/><br/> - Partner with SMEs and Solutions Architects from leading cloud providers to present solutions to customers.<br/><br/> - Support Quantiphi Sales and GTM teams from a technical perspective in building proposals and SOWs.<br/><br/> - Lead discovery and design workshops with potential customers across the globe.<br/><br/> - Design and deliver thought leadership webinars and tech talks alongside customers and partners.<br/><br/> - Identify areas for productization and feature enhancement for Quantiphis product assets.<br/><br/> <b>Role :</b><br/><br/> - Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence.<br/><br/> - Interface with multiple stakeholders within IT and business to understand the data requirements.<br/><br/> - Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction.<br/><br/> - Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems.<br/><br/> - Implement processes and systems to validate data, and monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.<br/><br/> - Work with the Pre-Sales team on RFP, RFIs and help them by creating solutions for data.<br/><br/> - Mentor young Talent within the Team, Define and track their growth parameters.<br/><br/> - Contribute to building Assets and Accelerators.<br/><br/> <b>Whats in it for you?</b><br/><br/> - The experience of working in a category-defining high-growth startup in the transformational AI, Decision Science, and Big Data domains.<br/><br/> - The opportunity of getting on board to the phenomenal growth journey and helping the customers take the next big leap in digital transformation.<br/><br/> - The opportunity to work with a diverse, lively, and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.<br/><br/> - Flexible, remote working options available to foster productivity and work/life balance.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations