Lead Data Solutions Architect

Role : Senior Architect - Data & Cloud

Experience in Years : 14-20

Work location : Mumbai / Bangalore (hybrid)

Cloud : Any

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 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

Role :

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