
Expert Cloud Data Architect
14 hours ago
Description: As a Cloud Data Architect Specialist, you will lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence.
- Design and develop 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.
Requirements:
Key Skills and Qualifications: More than 15 years of experience in Technical, Solutioning, and Analytical roles. Experience in architecting, designing, and implementing end-to-end data pipelines and data integration solutions for varied structured and unstructured data sources and targets. Well-versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud.
Additional Requirements: 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. 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.
Benefits:
What's in it for You? The experience of working in a category-defining high-growth startups in the transformational AI, Decision Science, and Big Data Domain. The opportunity of getting on-boarded to the phenomenal growth journey and helping customers take the next big leap in digital transformation. Flexible, remote working options available to foster productivity and work/life balance.
Others:
Other Responsibilities: 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.
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