Senior Cloud Data Architect

The position of Cloud Data Architect is open to an experienced professional with a proven track record in designing and implementing scalable data warehousing solutions on the cloud. The successful candidate will have extensive knowledge of one or more cloud databases, including Big Query and Redshift. Experience in architecting and designing scalable data warehouse solutions on the cloud is essential.

• Developing and maintaining large-scale data warehousing solutions on the cloud
• Designing and implementing data integration solutions for varied structured and unstructured data sources and targets
• Collaborating with cross-functional teams to define non-functional boundaries in terms of availability, scalability, performance, security, and resilience
• Experience in working with 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.

This role involves liaising with internal and external stakeholders to design optimized data analytics solutions. You will work closely with SMEs and Solutions Architects from leading cloud providers to present solutions to customers.

• A competitive compensation package
• A dynamic and collaborative work environment
• Opportunities for career growth and development
• Professional training and certification programs

As a Cloud Data Architect, you will be responsible for developing and maintaining large-scale data warehousing solutions on the cloud. You will collaborate with cross-functional teams to define non-functional boundaries in terms of availability, scalability, performance, security, and resilience. Your experience in working with distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud will be valuable assets to our team.

• Developing and maintaining large-scale data warehousing solutions on the cloud
• Designing and implementing data integration solutions for varied structured and unstructured data sources and targets
• Collaborating with cross-functional teams to define non-functional boundaries in terms of availability, scalability, performance, security, and resilience
• Leading discovery and design workshops with potential customers across the globe
• Designing and delivering thought leadership webinars and tech talks alongside customers and partners
• Identifying areas for productization and feature enhancement for Quantiphi's product assets

Quantiphi offers a dynamic and collaborative work environment, opportunities for career growth and development, professional training and certification programs, and a competitive compensation package.

• More than 15 years of experience in Technical, Solutioning, and Analytical roles
• 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)
• 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.
• 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
• 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 the 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 the 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 Quantiphis product assets