Senior Data Solutions Architect

Job Overview

Are you a visionary leader with expertise in designing and implementing cutting-edge data solutions? We seek an accomplished Data Architect to spearhead our data engagements on GCP Cloud.

The ideal candidate will possess more than 8 years of experience in technical, solutioning, and analytical roles, with a proven track record of building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration, and Business Intelligence/Artificial Intelligence solutions on Cloud.

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• More than 8 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.">
• Able 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 toolsets 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 Reposting and Dashboarding and one or more toolsets 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.">

Responsibilities

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• Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence.">
• Interface with multiple stakeholders within IT and business to understand the data requirements.">
• Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction.">
• Responsible for design and development of 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.">
• Work with the Pre-Sales team on RFP, RFIs and help them by creating solutions for data.">
• Mentor Young Talent within the Team, Define and track their growth parameters.">
• Contribute to building Assets and Accelerators.">

Requirements

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• Strong Communication and Articulation Skills.">
• Good Leadership Skills.">
• Should be a good team player.">
• Good Analytical and Problem-solving skills.">