Senior Architect - Data

While technology is the heart of our business, a global and diverse culture is the heart of our success.

We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

• Morethan10yearsofexperience in Technical, Solutioning, and Analytical roles.
• 5+yearsofexperience 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.
• Experiencein architecting, designing, and implementing end to end data pipelines and data integration solutions for varied structured and unstructured data sources and targets.
• Experienceof having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.
• Wellversedwithvarious Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud.
• Experienceof having worked with traditional ETL tools like Informatica/DataStage/OWB/Talend, etc.
• DeepknowledgeofoneormoreCloudandOn-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.
• ExposuretoanyoftheNo-SQLdatabases like MongodB, CouchDB, Cassandra, Graph dB, etc. Architect- Data
• Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift.
• Experiencein 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.
• Goodunderstanding 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.